Important work on alignment systems has been applied to philosophical work on joint action by Tollefsen and Dale. This paper builds from and expands on their work. The first aim of the paper is to spell out how the empirical research on alignment may be integrated into philosophical theories of joint action. The second aim is then to develop a successful characterization of joint action, which spells out the difference between genuine joint action and simpler forms of coordination (...) based on alignment. I begin by introducing the empirical research and two definitions of joint action. I then argue that instead of using this research in conjunction with Searle’s account of collective intentionality, as Tollefsen and Dale suggest, we would be better served by applying this research to Gilbert’s account of plural subjects. In the final sections I distinguish between alignment, coordination, and joint action, clarify the roles of joint commitment and sub-personal alignment in joint action, and argue that... (shrink)

Tae Wan Kim, John Hooker, and Thomas Donaldson make an attempt, in recent articles, to solve the alignment problem. As they define the alignment problem, it is the issue of how to give AI systems moral intelligence. They contend that one might program machines with a version of Kantian ethics cast in deontic modal logic. On their view, machines can be aligned with human values if such machines obey principles of universalization and autonomy, as well as a deontic (...) utilitarian principle. Programming machines to do so might be useful, in their view, for applications such as future autonomous vehicles. Their proposal draws both on traditional logic-based and contemporary connectionist approaches, to fuse factual information with normative principles. I will argue that this approach makes demands of machines that go beyond what is currently feasible, and may extend past the limits of the possible for AI. I also argue that a deontological ethics for machines should place greater stress on the formula of humanity of the Kantian categorical imperative. On this principle, one ought never treat a person as a mere means. Recognition of what makes a person a person requires ethical insight. Similar insight is needed to tell treatment as a means from treatment as a mere means. The resources in Kim, Hooker, and Donaldson’s approach is insufficient for this reason. Hesitation regarding deployment of autonomous machines is warranted in light of these alignment concerns. (shrink)

Abstract. The main current approach to the AI safety is AI alignment, that is, the creation of AI whose preferences are aligned with “human values.” Many AI safety researchers agree that the idea of “human values” as a constant, ordered sets of preferences is at least incomplete. However, the idea that “humans have values” underlies a lot of thinking in the field; it appears again and again, sometimes popping up as an uncritically accepted truth. Thus, it deserves a thorough (...) deconstruction, which I will do by listing and analyzing comprehensively the hidden assumptions of the idea that “humans have values.” This deconstruction of human values will be centered around the following ideas: “Human values” are useful descriptions, but not real objects; “human values” are bad predictors of behavior; the idea of a “human value system” has flaws; “human values” are not good by default; and human values cannot be separated from human minds. The method of analysis is listing hidden assumptions on which the idea of “human values” is built. I recommend that either the idea of “human values” should be replaced with something better for the goal of AI safety, or at least be used very cautiously. The approaches to AI safety which don’t use the idea of human values at all may require more attention, like the use of full brain models, boxing, and capability limiting. (shrink)

While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learning approach that is tailored to the ontology matching task. Our approach is based on embedding ontological terms in a high-dimensional Euclidean space. This embedding is derived on the basis of a novel phrase retrofitting strategy through which semantic (...) similarity information becomes inscribed onto fields of pre-trained word vectors. The resulting framework also incorporates a novel outlier detection mechanism based on a denoising autoencoder that is shown to improve performance. An ontology matching system derived using the proposed framework achieved an F-score of 94% on an alignment scenario involving the Adult Mouse Anatomical Dictionary and the Foundational Model of Anatomy ontology (FMA) as targets. This compares favorably with the best performing systems on the Ontology Alignment Evaluation Initiative anatomy challenge. We performed additional experiments on aligning FMA to NCI Thesaurus and to SNOMED CT based on a reference alignment extracted from the UMLS Metathesaurus. Our system obtained overall F-scores of 93.2% and 89.2% for these experiments, thus achieving state-of-the-art results. (shrink)

The Value Alignment Problem (VAP) presupposes that artificial general intelligence (AGI) is desirable and perhaps inevitable. As usually conceived, it is one side of the more general issue of mutual control between agonistic agents. To be fully autonomous, an AI must be an autopoietic system (an agent), with its own purposiveness. In the case of such systems, Bostrom’s orthogonality thesis is untrue. The VAP reflects the more general problem of interfering in complex systems, entraining the possibility of unforeseen (...) consequences. Instead of consolidating skill in an agent that acts on its own behalf, it would be safer and as effective to create ad hoc task-oriented software tools. What motivates the quest to create a superintelligence with a will of its own? Is a general intelligence even possible that is not an agent? Such questions point to the need to clarify what general intelligence is, what constitutes an agent, whose values and intentionality are to be aligned, and how feasible “friendliness” is. (shrink)

The Foundational Model of Anatomy (FMA) symbolically represents the structural organization of the human body from the macromolecular to the macroscopic levels, with the goal of providing a robust and consistent scheme for classifying anatomical entities that is designed to serve as a reference ontology in biomedical informatics. Here we articulate the need for formally clarifying the is-a and part-of relations in the FMA and similar ontology and terminology systems. We diagnose certain characteristic errors in the treatment of these relations (...) and show how these errors can be avoided through adoption of the formalism we describe. We then illustrate how a consistently applied formal treatment of taxonomy and partonomy can support the alignment of ontologies. (shrink)

The “Value Alignment Problem” is the challenge of how to align the values of artificial intelligence with human values, whatever they may be, such that AI does not pose a risk to the existence of humans. A fundamental feature of how the problem is currently understood is that AI systems do not take the same things to be relevant as humans, whether turning humans into paperclips in order to “make more paperclips” or eradicating the human race to “solve climate (...) change”. Specifically, existing approaches approaches to alignment appear to be concerned with how AI might *solve* problems in the relevant way. This paper presents and explores an approach to alignment rooted in the Enactive Theory of mind. It offers an alternative conception of the alignment as “how do we make relevant to AI what is relevant to humans?” In this conception, alignment is concerned with building AI so that it *discerns* and defines the problem in the relevant way. In this way, the Alignment Problem is shown to be the same problem as the Frame Problem. The paper concludes with a consideration of tradeoffs between these conceptions of the alignment problem. (shrink)

Because wars are fought by human beings and not merely machines, a strong virtue ethic is an essential prerequisite for those engaged in combat. From a philosophical perspective, war has historically been seen as separate and outside of the commonly accepted forms of morality. Yet there remains a general, though not well-thought out, sense that those human beings who fight wars should act ethically. Since warfighters are often called upon to contemplate and complete tasks during war that are not normally (...) required of non-warfighters (civilians), and it is believed these warfighters should act ethically, it becomes necessary to ask: What does soldierly virtue look like? In order to answer this question, I will examine essential elements of moral responsibility and military authority. Once complete, I will propose an Aristotelian-based virtue ethics system, one that is equally valuable to warfighter and civilian. To do this, I will examine the conversation in academia regarding virtue ethics and the foundations of virtue. I will provide both a cursory and deep reading of elements of Aristotle’s conception of virtue, but ultimately I will provide a slightly more rigorous reading and reinterpretation of an Aristotelian-based virtue ethic, with a definitive final recommendation for this interpretation being best for everyone, in war or walking down the street. Upon completing a study of this work, one will walk away with a next-generation interpretation of Aristotelian-based Virtue Ethics that denies eudaimonia as the central principle, relying instead on phronesis as its central theme. Phronesis, when properly developed in the warfighter will lead to moral responsibility, better decision-making, and a seamless re-integration into civilian life once has returned from the horrors of war. (shrink)

Learner-centered approaches have emerged as the fundamental pillar of effective pedagogy in the rapidly evolving landscape of 21st century education. This paradigm shift places the learner at the heart of the educational process, recognizing their diverse needs and aspirations. Consequently, the achievements of learners have become crucial indicators of institutional success. While extensive research has focused on student affairs and services, limited attention has been given to understanding the impact of administration on realizing the objectives of these support systems. This (...) study aims to investigate the relationship between the administration of learner-centered academic support systems and the attainment of desired outcomes in student affairs and services within higher education institutions in the Philippines. Utilizing a non-experimental correlational quantitative research design, a sample of three hundred fifty university students from various academic disciplines was randomly selected as participants. The findings demonstrate a strong positive correlation between the administration of learner-centered academic support systems and the achievement of desired outcomes in student affairs and services. As a result, the null hypothesis was rejected based on statistical analysis employing Pearson Correlation (r). These findings highlight the significant impact that learner-centered academic support system administration has on the realization of objectives in student affairs and services within the contemporary higher educational setting. To ensure sustained best practices in student development, it is imperative for the administration to foster collaboration with internal stakeholders and external partners. Recognizing that students are the focal point of instruction, their performance serves as a reflection of the institution’s commitment to providing quality education. By aligning administrative efforts with the evolving needs of students, institutions can enhance student affairs and services and create an optimal learning environment in the 21st century. (shrink)

Most engineers Fwork within social structures governing and governed by a set of values that primarily emphasise economic concerns. The majority of innovations derive from these loci. Given the effects of these innovations on various communities, it is imperative that the values they embody are aligned with those societies. Like other transformative technologies, artificial intelligence systems can be designed by a single organisation but be diffused globally, demonstrating impacts over time. This paper argues that in order to design for this (...) broad stakeholder group, engineers must adopt a systems thinking approach that allows them to understand the sociotechnicity of artificial intelligence systems across sociocultural domains. It claims that value sensitive design, and envisioning cards in particular, provides a solid first step towards helping designers harmonise human values, understood across spatiotemporal boundaries, with economic values, rather than the former coming at the opportunity cost of the latter. (shrink)

There are unusual challenges in ethics for RAS. Perhaps the issue can best be summarised as needing to consider “technically informed ethics”. The technology of RAS raises issues that have an ethical dimension, and perhaps uniquely so due to the possibility of moving human decision-making which is implicitly ethically informed to computer systems. Further, if seeking solutions to these problems – ethically aligned design, to use the IEEE’s terminology – then the solutions must be technically meaningful, capable of realisation, capable (...) of assurance, and suitable as a basis for regulation. Thus, ethics for RAS is a rich, complex multi-disciplinary concern, and perhaps more complex than many other ethical issues facing society today. It is also fast-moving. This paper has endeavoured to give an accessible introduction to some of the key issues, noting that many of them are quite subtle, and it is not possible to do them full justice in such a short document. However, we have sought to counterbalance this by giving an extensive list of initiatives, standards, etc. that focus on ethics of RAS and AI, see Annex A. (shrink)

Personal Information Management Systems (PIMS) aim to facilitate the sharing of personal information and protect privacy. Efforts to enhance privacy management, aligned with established privacy policies, have led to guidelines for integrating transparent notices and meaningful choices within these systems. Although discussions have revolved around the design of privacy-friendly systems that comply with legal requirements, there has been relatively limited philosophical discourse on incorporating the value of privacy into these systems. Exploring the connection between privacy and personal autonomy illuminates the (...) instrumental value of privacy and highlights the importance of intentionally embedding the value of privacy into these systems. To translate the value of privacy into concrete design requirements, this study constructs a values hierarchy consisting of values, norms, and design requirements. After analyzing the relationships between privacy and autonomy and identifying norms, the design requirements translated from the norms associated with the components of personal autonomy are specified at the lowest layer. These requirements include a design to prevent unauthorized access and dark patterns and to provide effective and efficient notices and choices. The findings contribute to expanding the requirements for designing the aspect of privacy as a legal requirement to incorporate the value of privacy into systems. (shrink)

Recent research into the nature of self in artificial and biological systems raises interest in a uniquely determining immutable sense of self, a “metaphysical ‘I’” associated with inviolable personal values and moral convictions that remain constant in the face of environmental change, distinguished from an object “me” that changes with its environment. Complementary research portrays processes associated with self as multimodal routines selectively enacted on the basis of contextual cues informing predictive self or world models, with the notion of the (...) constant, per-vasive and invariant sense of self associated with a multistable attractor set aiming to ensure personal integrity against threat of disintegrative change. This paper proposes that an immutable sense of self emerges as a global attractor which can be described as a project ideal self-situation embodied in frontal medial processes during more or less normal adolescent development, and that thereafter serves to orient agency in the more or less free development of embodied potentials over the life course in effort to realize project conditions, phenomenally identified with the felt pull towards this end as purpose of and source of meaning in life. So oriented, life-long self-development aims to embody solutions to problems at different timescales depending on this embodied purpose, ultimately in the service of evolutionary processes securing organism populations against threats of disintegrative change over timespans far beyond that of the individual. After characterizing the target sense of self, research circling this target is briefly surveyed. Self as global project and developmental neural correlates are proposed. Then, the paper discusses some implications for research in biological and artificial systems. Building from earlier work in cognitive neurorobotics, discussion affirms the value of reinforcement rituals including prayer in metaphysical self-development, considers implications for value alignment and rights associated with free will in the context of artificial intelligence and robot religion, and concludes by emphasizing the importance of self-development toward project ideals as source of meaning in life in the current social-political environment. (shrink)

When the U.S. conducts warfare, elements of a force are drawn from different services and work together as a single team to accomplish an assigned mission. To achieve such unified action, it is necessary that the doctrines governing the actions of members of specific services be both consistent with and subservient to joint Doctrine. Because warfighting today increasingly involves not only live forces but also automated systems, unified action requires that information technology that is used in joint warfare must be (...) aligned with joint doctrine. It requires also that the separate information systems used by the different elements of a joint force must be interoperable, in the sense that data and information that is generated by each element must be usable (understandable, processable) by all the other elements that need them. Currently, such interoperability is impeded by multiple inconsistencies among the different data and software standards used by warfighters. We describe here the on-going project of creating a Joint Doctrine Ontology (JDO), which uses joint doctrine to provide shared computer-accessible content valid for any field of military endeavor, organization, and information system. JDO addresses the two previously mentioned requirements of unified action by providing a widely applicable benchmark for use by developers of information systems that will both guarantee alignment with joint doctrine and support interoperability. (shrink)

Holobionts are symbiotic assemblages composed by a macrobe host plus its symbiotic microbiota. In recent years, the ontological status of holobionts has created a great amount of controversy among philosophers and biologists: are holobionts biological individuals or are they rather ecological communities of independent individuals that interact together? Chiu and Eberl have recently developed an eco-immunity account of the holobiont wherein holobionts are neither biological individuals nor ecological communities, but hybrids between a host and its microbiota. According to their account, (...) the microbiota is not a proper part of the holobiont. Yet, it should be regarded as a set of scaffolds that support the individuality of the host. In this paper, we approach Chiu and Eberl’s account from a metaphysical perspective and argue that, contrary to what the authors claim, the eco-immunity account entails that the microorganisms that compose the host’s microbiota are proper parts of the holobiont. Second, we argue that by claiming that holobionts are hybrids, and therefore, not biological individuals, the authors seem to be assuming a controversial position about the ontology of hybrids, which are conventionally characterized as a type of biological individual. In doing so, our paper aligns with the contemporary tendency to incorporate metaphysical resources to shed light on current biological debates and builds on that to provide additional support to the consideration of holobionts as biological individuals from an eco-immunity perspective. (shrink)

The Indian banking system evolved from an exclusive private enterprise controlled by a few wealthy families and trusts, leaving the majority reliant on high-interest private lenders, perpetuating economic disparity. Nationalization of 21 banks under Indira Gandhi aimed to rectify this, aligning with India's constitutional goal of equitable wealth distribution. However, globalization and privatization reshaped the landscape, emphasizing profit-seeking and catering to the corporate sector and affluent classes. The marginalized rural and small business sectors suffered in this pursuit, evident in (...) neglected rural branch postings. To address this, an ethical foundation merging Marxist economics and Shariah banking principles is proposed, seeking inclusivity and ethical grounding. Shariah principles, rooted in Islamic law, extend beyond religious boundaries, while Marxist values amplify voices of the marginalized. By combining these principles, a more inclusive, morally anchored, and holistic Indian banking system can be envisioned. The priority sector's Non-Performing Assets challenge can be addressed without jeopardizing inclusivity. (shrink)

This paper explores the potential of integrating ancient educational principles from diverse eastern cultures into modern AI ethics curricula. It draws on the rich educational traditions of ancient China, India, Arabia, Persia, Japan, Tibet, Mongolia, and Korea, highlighting their emphasis on philosophy, ethics, holistic development, and critical thinking. By examining these historical educational systems, the paper establishes a correlation with modern AI ethics principles, advocating for the inclusion of these ancient teachings in current AI development and education. The proposed integration (...) aims to provide a comprehensive education that not only encompasses foundational knowledge but also advanced learning, thereby equipping future AI professionals with the necessary tools to develop AI systems that are ethically responsible, culturally aware, and aligned with human values such as fairness, safety, transparency, and collaboration. This approach not only addresses the AI alignment problem but also fosters cultural harmony and global understanding, which are crucial in an increasingly interconnected world. The paper posits that the wisdom of ancient educational systems, when harmonized with modern AI ethics, can guide the development of AI technologies that are beneficial for humanity, ensuring these advancements are not just technologically sound but also ethically and culturally informed. (shrink)

Motivated by the question of responsible AI and value alignment, I seek to offer a uniquely Foucauldian reconstruction of the problem as the emergence of an ethical subject in a disciplinary setting. This reconstruction contrasts with the strictly human-oriented programme typical to current scholarship that often views technology in instrumental terms. With this in mind, I problematise the concept of a technological subjectivity through an exploration of various aspects of ChatGPT in light of Foucault’s work, arguing that current systems (...) lack the reflexivity and self-formative characteristics inherent in the notion of the subject. By drawing upon a recent dialogue between Foucault and phenomenology, I suggest four techno-philosophical desiderata that would address the gaps in this search for a technological subjectivity: embodied self-care, embodied intentionality, imagination and reflexivity. Thus I propose that advanced AI be reconceptualised as a subject capable of “technical” self-crafting and reflexive self-conduct, opening new pathways to grasp the intertwinement of the human and the artificial. This reconceptualization holds the potential to render future AI technology more transparent and responsible in the circulation of knowledge, care and power. (shrink)

AI systems that demonstrate significant bias or lower than claimed accuracy, and resulting in individual and societal harms, continue to be reported. Such reports beg the question as to why such systems continue to be funded, developed and deployed despite the many published ethical AI principles. This paper focusses on the funding processes for AI research grants which we have identified as a gap in the current range of ethical AI solutions such as AI procurement guidelines, AI impact assessments and (...) AI audit frameworks. We highlight the responsibilities of funding bodies to ensure investment is channelled towards trustworthy and safe AI systems and provides case studies as to how other ethical funding principles are managed. We offer a first sight of two proposals for funding bodies to consider regarding procedures they can employ. The first proposal is for the inclusion of a Trustworthy AI Statement’ section in the grant application form and offers an example of the associated guidance. The second proposal outlines the wider management requirements of a funding body for the ethical review and monitoring of funded projects to ensure adherence to the proposed ethical strategies in the applicants Trustworthy AI Statement. The anticipated outcome for such proposals being employed would be to create a ‘stop and think’ section during the project planning and application procedure requiring applicants to implement the methods for the ethically aligned design of AI. In essence it asks funders to send the message “if you want the money, then build trustworthy AI!”. (shrink)

This thesis explores the party system and political parties in the post-communist Albania. The overarching question of the thesis is what kind of party system has developed and what is the structure and organization of the Albanian political parties. The study analyses the period 1991-2013, that is the period between the first and the last general elections. I argue and test that the Albanian party system is stable and that the Albanian political parties are mass clientelist parties (...) with deep territorial penetration. The members of the parties have ceased to paly their traditional roles of the era of mass party and their attachment tot he party is not ideological but aims to ensure material benefits in return for the support provided to the party in elections times. As parties don't have many tools at hand they use their organizational structure to stabilize electorate, which explains the low level of electoral volatility in Albania and as consequence the stability of the party system. The thesis ahs an institutional embedded and a historically structured framework according to which party strategies are shaped by both the institutional context and the historical setting in which parties are created and operate. Following this line of reasoning, the weak societal roots of parties do not allow for party identification or voter alignment; the early access to public funding reduces the incentives of parties to create strong links with the members and society to collect financial resources and; in line with the features of the patrimonial communism which is characterized by clientelism and nepotism, the Albanian political parties develop the same relationships between the higher echelons of the party and the lower strata of the party structure. On the other hand the lack of media access in the early phase of organization and the need to stabilize the electorate, encourage the Albanian political parties to seek a deep territorial penetration which results in the creation of mass clientelist parties. In order to test the hypothesis I have undertaken three steps: a) the analyses of the Effective Number of Parties and Electoral Volatility; b) the internal distribution of power, the role of the membership and the relationship of the organization with society and; c) the identification of financial resources of the political parties. (shrink)

Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their contents, calculations, (...) and procedures cannot be meaningfully understood by human practitioners. When AI systems reach this level of complexity, we can also speak of black-box medicine. In this paper, we want to argue that black-box medicine conflicts with core ideals of patient-centered medicine. In particular, we claim, black-box medicine is not conducive for supporting informed decision-making based on shared information, shared deliberation, and shared mind between practitioner and patient. (shrink)

There are two types of artificial general intelligence (AGI) safety solutions: global and local. Most previously suggested solutions are local: they explain how to align or “box” a specific AI (Artificial Intelligence), but do not explain how to prevent the creation of dangerous AI in other places. Global solutions are those that ensure any AI on Earth is not dangerous. The number of suggested global solutions is much smaller than the number of proposed local solutions. Global solutions can be divided (...) into four groups: 1. No AI: AGI technology is banned or its use is otherwise prevented; 2. One AI: the first superintelligent AI is used to prevent the creation of any others; 3. Net of AIs as AI police: a balance is created between many AIs, so they evolve as a net and can prevent any rogue AI from taking over the world; 4. Humans inside AI: humans are augmented or part of AI. We explore many ideas, both old and new, regarding global solutions for AI safety. They include changing the number of AI teams, different forms of “AI Nanny” (non-self-improving global control AI system able to prevent creation of dangerous AIs), selling AI safety solutions, and sending messages to future AI. Not every local solution scales to a global solution or does it ethically and safely. The choice of the best local solution should include understanding of the ways in which it will be scaled up. Human-AI teams or a superintelligent AI Service as suggested by Drexler may be examples of such ethically scalable local solutions, but the final choice depends on some unknown variables such as the speed of AI progress. (shrink)

Through modern driver assistant systems, algorithmic decisions already have a significant impact on the behavior of vehicles in everyday traffic. This will become even more prominent in the near future considering the development of autonomous driving functionality. The need to consider ethical principles in the design of such systems is generally acknowledged. However, scope, principles and strategies for their implementations are not yet clear. Most of the current discussions concentrate on situations of unavoidable crashes in which the life of human (...) beings is existentially affected. In this paper, we argue that ethical considerations should be mandatory for any algorithmic decision of autonomous vehicles, instead of a limitation to hazard situations. Such an ethically aligned behavior is relevant because autonomous vehicles, like any other traffic participants, operate in a shared public space, where every behavioral decision impacts the operational possibilities of others. These possibilities concern the fulfillment of a road-user’s safety, utility and comfort needs. We propose that, to operate ethically in such space, an autonomous vehicle will have to take its behavior decisions according to a just distribution of operational possibilities among all traffic participants. Using an application on a partially-autonomous prototype vehicle, we describe how to apply and implement concepts of distributive justice to the driving environment and demonstrate the impact on its behavior in comparison to an advanced but egoistic decision maker. (shrink)

Experts in Artificial Intelligence (AI) development predict that advances in the development of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance is not made prudently and critically-reflexively, it can result in negative outcomes for humanity. For this reason, several researchers in the area have developed a robust, beneficial, and safe concept of AI for the preservation of humanity and the environment. Currently, several of the open problems in the field of AI research (...) arise from the difficulty of avoiding unwanted behaviors of intelligent agents and systems, and at the same time specifying what we really want such systems to do, especially when we look for the possibility of intelligent agents acting in several domains over the long term. It is of utmost importance that artificial intelligent agents have their values aligned with human values, given the fact that we cannot expect an AI to develop human moral values simply because of its intelligence, as discussed in the Orthogonality Thesis. Perhaps this difficulty comes from the way we are addressing the problem of expressing objectives, values, and ends, using representational cognitive methods. A solution to this problem would be the dynamic approach proposed by Dreyfus, whose phenomenological philosophy shows that the human experience of being-in-the-world in several aspects is not well represented by the symbolic or connectionist cognitive method, especially in regards to the question of learning values. A possible approach to this problem would be to use theoretical models such as SED (situated embodied dynamics) to address the values learning problem in AI. (shrink)

Humans and AI systems are usually portrayed as separate sys- tems that we need to align in values and goals. However, there is a great deal of AI technology found in non-autonomous systems that are used as cognitive tools by humans. Under the extended mind thesis, the functional contributions of these tools become as essential to our cognition as our brains. But AI can take cognitive extension towards totally new capabil- ities, posing new philosophical, ethical and technical chal- lenges. To (...) analyse these challenges better, we define and place AI extenders in a continuum between fully-externalized systems, loosely coupled with humans, and fully-internalized processes, with operations ultimately performed by the brain, making the tool redundant. We dissect the landscape of cog- nitive capabilities that can foreseeably be extended by AI and examine their ethical implications. We suggest that cognitive extenders using AI be treated as distinct from other cognitive enhancers by all relevant stakeholders, including developers, policy makers, and human users. (shrink)

Gender-based forms of administrative violence, such as reproductive violence, are the result of systems designed to enact population-level harms through the production and forcible imposition of colonial systems of gender. Settler statecraft has long relied on the strategic promotion of sexual and reproductive violence. Patterns of reproductive violence adapt and change to align with the enduring goals and evolving needs of settler colonial occupation, dispossession, and containment. The U.S. Supreme Court’s recent decision to end the constitutional right to abortion in (...) Dobbs v Jackson is but one instance of this larger pattern. We analyze reproductive and obstetric violence and the structural trauma they produce through the lenses of i) historical continuity and ii) the global architectures of neoliberal settler capitalism in order to connect reproductive rights rollbacks in the U.S. with the expansion of reproductive violence across a world connected by colonial globalization. (shrink)

Practical quantum computing devices and their applications to AI in particular are presently mostly speculative. Nevertheless, questions about whether this future technology, if achieved, presents any special ethical issues are beginning to take shape. As with any novel technology, one can be reasonably confident that the challenges presented by "quantum AI" will be a mixture of something new and something old. Other commentators (Sevilla & Moreno 2019), have emphasized continuity, arguing that quantum computing does not substantially affect approaches to value (...) alignment methods for AI, although they allow that further questions arise concerning governance and verification of quantum AI applications. In this brief paper, we turn our attention to the problem of identifying as-yet-unknown discontinuities that might result from quantum AI applications. Wise development, introduction, and use of any new technology depends on successfully anticipating new modes of failure for that technology. This requires rigorous efforts to break systems in protected sandboxes, and it must be conducted at all stages of technology design, development, and deployment. Such testing must also be informed by technical expertise but cannot be left solely to experts in the technology because of the history of failures to predict how non-experts will use or adapt to new technologies. This interplay between experts and non-experts may be particularly acute for quantum AI because quantum mechanics is notoriously difficult to understand. (As Richard Feynman quipped, "Anyone who claims to understand quantum mechanics is either lying or crazy.") We will discuss the extent to which the difficulties in understanding the physics underlying quantum computing challenges attempts to anticipate new failure modes that might be introduced in AI applications intended for unsupervised operation in the public sphere. (shrink)

In Brentano’s Philosophical System: Mind, Being, Value, Uriah Kriegel argues that Brentano’s work forms a “live philosophical program” (p. 14, italics omitted) that contemporary philosophy has much to learn from and that is promising and largely correct. To this end, Kriegel argues that Brentano’s notion of consciousness is the contemporary notion of phenomenal consciousness, that Brentano’s rejection of unconscious mentality is a grave mistake that can be fairly neatly excised from his overall view, and that Brentano’s notion of intentionality (...) is the contemporary notion of phenomenal intentionality. This paper raises some doubts about these claims, suggesting that Brentano’s notion of consciousness might more closely align with the contemporary notion of transitive consciousness than with that of phenomenal consciousness, that Brentano’s rejection of unconscious mentality cannot be so easily excised from his overall view but that it is not such a grave mistake, and that Brentano’s notion of intentionality may not be that of phenomenal intentionality but rather that of generic abountness. I wrap up by considering the extent to which we might agree with Kriegel that Brentano’s work forms a live philosophical program that contemporary philosophy has much to learn from. (shrink)

The online-based learning system is a current policy established by the Philippine government in all schools as a result of the COVID-19 pandemic. Shifting face-to-face schools with an online learning-based system creates problems, especially for elementary teachers. This study investigates elementary school teachers' practices in the new normal. The BEED - Generalist researchers employed phenomenological research and purposefully selected participants who were thoroughly knowledgeable to gather essential data about effective methods of virtual delivery. The data was collected through (...) an interview of ten elementary teachers in Magugpo, Pilot, Central Elementary School, using a researcher-made interview guide. Ten essential themes are being gathered, and these are the following: Encountering intermittent internet connection, Observing the struggles of the students, Experiencing increasing student participation, Having doubts about the student's output, Extended extra time to learn the virtual platform, Employed engaging activities, Aligned competencies, and strategies, Demonstrated resiliency, Seeing positive thinking as good mindset, Embracing educational shift and trends, and Adapting positively to changes. The result indicates that the elementary school teachers' practices are effective in virtual classrooms, making students more engaged and actively participating in the class. It is recommended that the result be utilized, improved, and implemented to ensure the effectiveness of handling the online course. (shrink)

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing (...) should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation. (shrink)

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing (...) should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation. (shrink)

Recent advances in natural language processing have given rise to a new kind of AI architecture: the language agent. By repeatedly calling an LLM to perform a variety of cognitive tasks, language agents are able to function autonomously to pursue goals specified in natural language and stored in a human-readable format. Because of their architecture, language agents exhibit behavior that is predictable according to the laws of folk psychology: they function as though they have desires and beliefs, and then make (...) and update plans to pursue their desires given their beliefs. We argue that the rise of language agents significantly reduces the probability of an existential catastrophe due to loss of control over an AGI. This is because the probability of such an existential catastrophe is proportional to the difficulty of aligning AGI systems, and language agents significantly reduce that difficulty. In particular, language agents help to resolve three important issues related to aligning AIs: reward misspecification, goal misgeneralization, and uninterpretability. (shrink)

Intelligibility and interpretability related to artificial intelligence (AI) are crucial for enabling explicability, which is vital for establishing constructive communication and agreement among various stakeholders, including users and designers of AI. It is essential to overcome the challenges of sharing an understanding of the details of the various structures of diverse AI systems, to facilitate effective communication and collaboration. In this paper, we propose four fundamental terms: “I/O,” “Constraints,” “Objectives,” and “Architecture.” These terms help mitigate the challenges associated with intelligibility (...) and interpretability in AI by providing appropriate levels of abstraction to describe structure of AI systems generally, thereby facilitating the sharing of understanding among various stakeholders. The relationship between the Objective of AI designers and the Purpose of AI users is linked to the issues of AI alignment. (shrink)

Prior work proposes a view of development of purpose and source of meaning in life as a more or less temporally distal project ideal self-situation in terms of which intermediate situations are experienced and prospects evaluated. This work considers Augustine on ensoulment alongside current work into self as adapted routines to common social regularities of the sort that Augustine found deficient. How can we account for such diversity of self-reported value orientation in terms of common structural dynamics differently developed, embodied (...) and enacted over the life course? This work in progress represents divergent views as different sorts of error theory, and hypothesizes that differential development of spindle neural projections underlies different accounts of error for attentive self-correction through iterative attenuation. Some implications for AI augmentation and value alignment of autonomous agents developed on such a model are briefly entertained. (shrink)

Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these interactions (...) as instances of an ISA whose reward depends on actions performed by the user. Such agents benefit by steering the user’s behaviour towards outcomes that maximise the ISA’s utility, which may or may not be aligned with that of the user. Video games, news recommendation aggregation engines, and fitness trackers can all be instances of this general case. Our analysis facilitates distinguishing various subcases of interaction, as well as second-order effects that might include the possibility for adaptive interfaces to induce behavioural addiction, and/or change in user belief. We present these types of interaction within a conceptual framework, and review current examples of persuasive technologies and the issues that arise from their use. We argue that the nature of the feedback commonly used by learning agents to update their models and subsequent decisions could steer the behaviour of human users away from what benefits them, and in a direction that can undermine autonomy and cause further disparity between actions and goals as exemplified by addictive and compulsive behaviour. We discuss some of the ethical, social and legal implications of this technology and argue that it can sometimes exploit and reinforce weaknesses in human beings. (shrink)

The sublime is an aspect of experience that has attracted a great deal of scholarship, not only for scholarly reasons but because it connotes aspects of experience not exhausted by what Descartes once called clear distinct perception. That is, the sublime is an experience of the world which involves us in orientating ourselves within it, and this orientation, our human orientation, elevates us in comparison to the non-human world according to traditional accounts of the sublime. The sublime tells us something (...) about our relation to the world rather than anything about the world per se. Nonetheless there is an objective sense of the sublime in that the narratives involved are culturally endorsed rather than invented by an individual. This means that objects can be judged worthy or not of evoking experiences of the sublime. In other words, it is not an idiosyncratic matter. Immanuel Kant’s formulation of this involved explaining how such an experience is possible in terms of his system of the mind. Jane Forsey notes that Kant takes the features of the sublime as given and extrapolates from them certain features of the mind as if any concept of the sublime must implicate the mental architecture of his account (2007). Further to this she argues that in fact the concept of the sublime does implicate a particular system of the mind but neither Kant nor anyone else can successfully formulate it because the concept itself frames certain contradictions. According to Forsey, two consequences follow. First she argues that Kant’s system of the mind does not support the features of the sublime; and secondly that no system could as the very concept is incoherent. If Forsey can show that Kant was mistaken in presenting his account as coherent given his commitments, this would be of interest in its own right. However, her stronger claim is that we cannot separate any concept of the sublime out from Kant’s theoretical underpinnings. That the way the features of the mind are meant to operate in experiences of the sublime are contradictory simply points to the fatal flaws in the whole concept. Her conclusion is that there is no coherent account of the sublime available to us. I will argue that Forsey bases her reasoning on the assumption that a foundational empiricist or direct perception holds; and she interprets Kant’s notions of imagination, understanding and reason as though they are grounded in just such an account of perception. This is revealed in her interpretation of Kant’s phrase “beyond cognition”. Once this foundationalism is replaced with an account of perception more aligned with current research on perception, both philosophical and empirical, then an account of the sublime is available. Further to this however, I argue that what constitutes the narrative of the sublime is historically contingent. Before setting out my arguments, I consider Forsey’s argument in more detail. (shrink)

This study aims to explore a demoethical model for sustainable development in modern society. It proposes an approach that focuses on organizing activities to improve sustainable development. Specifically, it presents a demoethical model relevant to Society 5.0 and Industry 5.0 organizations. The objective is to identify demoethical values that can drive sustainable development in the era of digitalization. Through a literature review and analysis, this study identifies key components of the demoethical model and provides practical recommendations for stakeholders involved in (...) digital transformation. The analysis of demoethical norms and phenomena, such as education, nurturing, mind, knowledge, science, and honest work, has enabled the identification of values that align with sustainable development in society. The results of the study demonstrate that the notion of a demoethical foundation for sustainability is rooted in the concept of spirituality as the basis for a new societal development scenario and its relationship with nature. The study shows that ideas about the demoethical basis of sustainability are based on the priority of spirituality as the basis of a new scenario for the development of society, as well as the integration of demographic, socio-economical, and ecological components in system-wide modeling. (shrink)

The current paradigm of Artificial Intelligence emerged as the result of a series of cultural innovations, some technical and some social. Among them are apparently small design decisions, that led to a subtle reframing of the field’s original goals, and are by now accepted as standard. They correspond to technical shortcuts, aimed at bypassing problems that were otherwise too complicated or too expensive to solve, while still delivering a viable version of AI. Far from being a series of separate problems, (...) recent cases of unexpected effects of AI are the consequences of those very choices that enabled the field to succeed, and this is why it will be difficult to solve them. In this chapter we review three of these choices, investigating their connection to some of today’s challenges in AI, including those relative to bias, value alignment, privacy and explainability. We introduce the notion of “ethical debt” to describe the necessity to undertake expensive rework in the future in order to address ethical problems created by a technical system. (shrink)

This paper provides an examination of some problems caused by the concentration of influence in the capital markets of developed countries. In particular, I argue that large asset managers exercise quasi-political power that is not democratically legitimate. In section two, I will examine the economic driver behind the size and power of the big asset managers: the passive investing revolution. I will discuss several respects in which this revolution has fundamentally changed capital markets, most notably by making a large share (...) of investors universal owners. In the third section, I argue for my central analytical conjecture: asset managers exercise quasi-political power. They use their influence to shape the rules of the game in public capital markets in order to implement social and environmental policies that have traditionally been the exclusive purview of states. “Asset manager capitalism” is a recent term coined to refer to the contemporary system of corporate governance that succeeded the Berle and Means corporation with its dispersed ownership; the argument of this section is that asset manager capitalism is also a new political-economic regime. In the fourth section I defend my central normative claim: asset manager capitalism is an untenable and illegitimate political-economic arrangement, for at least two reasons. First, the power of asset managers is not checked by any institutional constraints, and is not rendered legitimate by any democratic process. More fundamental than this procedural critique is an argument that the interests of asset managers could not be aligned with the public interest, given the fact that the distribution of capital is highly unequal. I conclude by discussing several proposals to reform asset manager capitalism. (shrink)

As the aim of the responsible robotics initiative is to ensure that responsible practices are inculcated within each stage of design, development and use, this impetus is undergirded by the alignment of ethical and legal considerations towards socially beneficial ends. While every effort should be expended to ensure that issues of responsibility are addressed at each stage of technological progression, irresponsibility is inherent within the nature of robotics technologies from a theoretical perspective that threatens to thwart the endeavour. This (...) is because the concept of responsibility, despite being treated as such, is not monolithic: rather this seemingly unified concept consists of converging and confluent concepts that shape the idea of what we colloquially call responsibility. From a different perspective, robotics will be simultaneously responsible and irresponsible depending on the particular concept of responsibility that is foregrounded: an observation that cuts against the grain of the drive towards responsible robotics. This problem is further compounded by responsible design and development as contrasted to responsible use. From a different perspective, the difficulty in defining the concept of responsibility in robotics is because human responsibility is the main frame of reference. Robotic systems are increasingly expected to achieve the human-level performance, including the capacities associated with responsibility and other criteria which are necessary to act responsibly. This subsists within a larger phenomenon where the difference between humans and non-humans, be it animals or artificial systems, appears to be increasingly blurred, thereby disrupting orthodox understandings of responsibility. This paper seeks to supplement the responsible robotics impulse by proposing a complementary set of human rights directed specifically against the harms arising from robotic and artificial intelligence technologies. The relationship between responsibilities of the agent and the rights of the patient suggest that a rights regime is the other side of responsibility coin. The major distinction of this approach is to invert the power relationship: while human agents are perceived to control robotic patients, the prospect for this to become reversed is beginning. As robotic technologies become ever more sophisticated, and even genuinely complex, asserting human rights directly against robotic harms become increasingly important. Such an approach includes not only developing human rights that ‘protect’ humans but also ‘strengthen’ people against the challenges introduced by robotics and AI [This distinction parallels Berlin’s negative and positive concepts of liberty ], by emphasising the social and reflective character of the notion of humanness as well as the difference between the human and nonhuman. This will allow using the human frame of reference as constitutive of, rather than only subject to, the robotic and AI technologies, where it is human and not technology characteristics that shape the human rights framework in the first place. (shrink)

The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and this is true both within and across organizations. In this paper, we describe our work to address this problem through the creation of a suite of modular ontologies representing the product life cycle and its successive phases, from design to end of (...) life. We call this suite the Product Life Cycle (PLC) Ontologies. The suite extends proximately from The Common Core Ontologies (CCO) used widely in defense and intelligence circles, and ultimately from the Basic Formal Ontology (BFO), which serves as top level ontology for the CCO and for some 300 further ontologies. The PLC Ontologies were developed together, but they have been factored to cover particular domains such as design, manufacturing processes, and tools. We argue that these ontologies, when used together with standard public domain alignment and browsing tools created within the context of the Semantic Web, may offer a low-cost approach to solving increasingly costly problems of data management in the manufacturing industry. (shrink)

Concerns about threats to human autonomy feature prominently in the field of AI ethics. One aspect of this concern relates to the use of AI systems for problematically manipulative influence. In response to this, the European Union’s draft AI Act (AIA) includes a prohibition on AI systems deploying subliminal techniques that alter people’s behavior in ways that are reasonably likely to cause harm (Article 5(1)(a)). Critics have argued that the term ‘subliminal techniques’ is too narrow to capture the target cases (...) of AI-based manipulation. We propose a definition of ‘subliminal techniques’ that (a) is grounded on a plausible interpretation of the legal text; (b) addresses all or most of the underlying ethical concerns motivating the prohibition; (c) is defensible from a scientific and philosophical perspective; and (d) does not over-reach in ways that impose excessive administrative and regulatory burdens. The definition is meant to provide guidance for design teams seeking to pursue responsible and ethically aligned AI innovation. (shrink)

The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the (...) naming of genes, proteins, and other molecular structures, considerable efforts are under way to reduce the effects of the different naming conventions which have been spawned by different groups of researchers. Electronic patient records, too, increasingly involve the use of standardized terminologies, and tremendous efforts are currently being devoted to the creation of terminology resources that can meet the needs of a future era of personalized medicine, in which genomic and clinical data can be aligned in such a way that the corresponding information systems become interoperable. (shrink)

This article examines Nietzsche’s analysis of the phenomenology of agent causation. Sense of agent causation, our sense of self-efficacy, is tenacious because it originates, according to Nietzsche’s hypothesis, in the embodied and situated experience of effort in overcoming resistances. It arises at the level of the organism and is sustained by higher-order cognitive functions. Based on this hypothesis, Nietzsche regards the sense of self as emerging from a homeostatic system of drives and affects that unify such as to maintain (...) self-efficacy levels. He relies on the same hypothesis to explain the emergence of an ascetic moral system and its specific, interpretive-affective ‘mechanism of willing’. The article aligns Nietzsche’s account of agent causation with Albert Bandura’s self-efficacy studies and Antonio Damasio’s recent account of self-systems as homeostatic systems. (shrink)

I argue for three conclusions. First, responsibility skeptics are committed to the position that the criminal justice system should adopt a universal nonresponsibility excuse. Second, a universal nonresponsibility excuse would diminish some of our most deeply held values, further dehumanize criminals, exacerbate mass incarceration, and cause an even greater number of innocent people (nonwrongdoers) to be punished. Third, while Saul Smilansky's ‘illusionist’ response to responsibility skeptics – that even if responsibility skepticism is correct, society should maintain a responsibility‐realist/retributivist criminal (...) justice system – is generally compelling, it would not work if a majority of society were to convert, theoretically and psychologically, to responsibility skepticism. In this (highly improbable) scenario, and only in this (highly improbable) scenario, the criminal justice system would need to be reformed in such a way that it aligned with the majority's responsibility‐skeptical beliefs and attitudes. (shrink)

Whether it would take one decade or several centuries, many agree that it is possible to create a *superintelligence*---an artificial intelligence with a godlike ability to achieve its goals. And many who have reflected carefully on this fact agree that our best hope for a "friendly" superintelligence is to design it to *learn* values like ours, since our values are too complex to program or hardwire explicitly. But the value learning approach to AI safety faces three particularly philosophical puzzles: first, (...) it is unclear how any intelligent system could learn its final values, since to judge one supposedly "final" value against another seems to require a further background standard for judging. Second, it is unclear how to determine the content of a system's values based on its physical or computational structure. Finally, there is the distinctly ethical question of which values we should best aim for the system to learn. I outline a potential answer to these interrelated puzzles, centering on a "miktotelic" proposal for blending a complex, learnable final value out of many simpler ones. (shrink)

I intend to: a) clarify the origins and de facto meanings of the term relativism; b) reconstruct the reasons for the birth of the thesis named “cultural relativism”; d) reconstruct ethical implications of the above thesis; c) revisit the recent discussion between universalists and particularists in the light of the idea of cultural relativism.. -/- 1.Prescriptive Moral Relativism: “everybody is justified in acting in the way imposed by criteria accepted by the group he belongs to”. Universalism: there are at least (...) some judgments which are valid inter-culturally Absolutism: there are at least some particular prescriptions which are valid without exception everywhere and always -/- 2. The traditional proof of prescriptive moral relativism: the argument from variability: Judgments, rules, and shared values are de facto variable in time and space. The traditional counter-proof: examples of variability do not prove what skeptics contend. -/- 3. Pre-history of the doctrine -Ancient sophists: either immoralist or contractualist -Modern moral scepticism (xvii c.): variability as an historical and ethnographic fact supports a sceptical conclusion more moderate than sheer immoralism. - Voltaire, Kant, Reid counter-attack pointing at a universally shared moral sense - Romantics and idealists stage an even more moderate reformulation: instead of universally shared moral sense they point at the Spirit of a People which is: a)alternative to abstract and universal philosophical systems as far as it is lived ‘culture’; b) indivisible unity with an inner harmony and a source of normative standards; c) dynamic, in so far as it is a manifestation of the Spirit through the becoming of National cultures. -/- 4. The birth of Cultural Relativism and its ethical implications 4.1. The 18th c. doctrine was the noble savage (a non-historical doctrine: state of nature vs. social state) 4.2 Edward Tylor (1832-1817) and ethnocentric historicism Savage moral standards are real enough, but they are far and weaker than ours. 4.3 Boas and Malinowski and an holistic reaction to ethnocentric historicism -/- Franz Boas (1858-1942): a) Development of civilizations is not ruled by technical progress nor does it follow a one-way path; instead there are parallel developments (for ex. Agriculture does not follow stock-raising); b) racial characters have no relevance in development of civilization; c) we are not yet in a position to compare externally identical kinds of behaviour till we have not yet understood beliefs and intentions laying at their roots (for ex.: “From an ethnological point of view murder cannot be considered as a single phenomenon”; d) we should distinguish among different practices which are only superficially similar (fro ex. practices traditionally classified under the label “tabù”); e) there is as a fact just one normative ethic, constant in its contents but varying in its extension; f) the implication is not that we cannot judge behavior by members of other groups; it is only a recommendation of caution. -/- Bronislaw Malinowski (1884-1942): a) against Tylor’s and Frazer’s “magpie” methodology, field-work is required, a culture as a whole should be observed from inside; individual elements are incomprehensible; b) a culture is an organic whole; c) its elements are accounted for by their function (economy), avoiding non-observables (empio-criticism). -/- Ruth Benedict and Melville Herskovitz identify Boas’s approach with “cultural relativism”. Benedict: what is normal and abnormal is to be judged on a culture’s own standards, not on our own (“Anthropology and the Abnormal”). Herskovits: “Boas adumbrates what we have come to call cultural relativism” (The Mind, p. 10); “Judgements are based on experience, and experience is interpreted by each individual in terms of his own enculturation” (Man and his Works). -/- 4. How analytic philosophy understood and misunderstood the discussion 4.1. At the beginning of the 20th c., the new view in ethics was non-cognitivism (emotivist and subjectivist). Eric Westermark combines this view with an old-style ethnographic approach in support of relativity of moralities. Moralities are codes, or systems of emotive ‘disinterested’ reactions selected by evolution on their usefulness in terms of survival value for the society that is the carrier of such systems or codes. The moral relativity thesis: there are cases of disagreement that cannot be settled even after agreement about facts. 4.2 Anti-realists Brandt, Mackie, Gilbert, Harman adopt Westermark’s approach in a more sophisticated version: a) moralities are codes with an overall function and may be appraised only as wholes; b) variability is an argument for moral subjectivism; c) apparent legitimacy of deriving shift from ought is legitimized only within one institution d) morality should not be described but instead made, and existing moralities may be improved. Is it ‘real’ relativism? It is clearly subjectivism (a metaethical thesis). The normative thesis is that there better and worse codes, and survival values is the normative standard. -/- 4.3 Particularists MacIntyre, Sandel, Taylor, Wiggins, McDowell ‘Wittgensteinian’ prospectivist arguments bent to support weak-relativist claims MacIntyre: there is ‘incommensurability’ between different theoretical systems in both science and ethics. No argument is possible through different systems Different traditions may coexist for a long time without being able to bring their conflicts to a rational solution. -/- 4.4 Kantian universalists Baier, Gewirth, Rawls, Apel, Habermas Shared claim: justice concerns the right and is universal in so far as it may be based on minimal assumptions Other virtues are relative to context in so far as they are related to comprehensive views of the good - O’Neill criticism: a) it is an assumption shared by both alignments; b) after an alleged crisis brought about by alleged loss of metaphysical certainties, theories of justice have dropped demanding assumptions and kept universalism, virtue theories have kept demanding assumptions and dropped universalism; c) the opposition of virtue and justice has arisen in an unjustified way. O’Neill’s positive proposal: ‘constructive’ procedures may be adopted both (i) concerning all the range of virtues and (ii) across cultures once we abandon idealization and confine ourselves to abstraction from real-world cases. -/- 4.5 A metaethical relativist and anti-relativist normative ethicists: Bernard Williams Williams: vulgar relativism may be assumed to claim that: a) 'just' means 'just in a given society'; b) 'just in a given society' is to be understood in functionalist sense; c) it is wrong for one society’s members to condemn another society’s values. It is inconsistent since in (c) uses ‘just’ in a non-relative way that has been excluded in (a). William’s positive proposal: i) keep a number of substantive or thick ethical concepts that will be different in space and time; ii) admit that public choices are to be legitimized through recourse to more abstract procedures and relying on more thin ethical concepts. -/- 5. Critical remarks 5.1 The only real relativism available is ‘vulgar’ relativism (Westermark?) 5.2. Descriptive universalism (or absolutism) has a long pedigree, from Cicero on, reaching Boas himself but it is useless as an answer to normative questions 5.3. Twentieth-century philosophical discussion seems to discuss an ad hoc doctrine reconstructed by assembling obsolete philosophical ideas but ignoring the real theory of cultural relativism as formulated by anthropologists. -/- 6. A distinction between ethoi and ethical theories as a way out of confusions a)There are systems of conventions de facto existing. These may be studies from outside as phenomena or facts. b)There is moral argument and this, when studies from outside, is a fact, but this does not influence in any degree the possible validity of claims advanced. c) the difference between the above claims and Mackie’s criticism to Searle’s argument of the promising game is that promises, arguments etc. are also phenomena, but they are also communicative phenomena with a logical and pragmatic structure. -/- 7.Conclusions: a) cultural relativism, as a name for Boas’s methodology is a valuable discovery, and in this sense we are all relativists; b) ethical relativism, as an alleged implication of cultural relativism, has been argued in a philosophically quite unsophisticated way by Benedict and Herskovits; philosophers apparently discussed ethical relativism in the basis of a rather faint impression of what cultural relativism had been. c) a full-fledged ethical relativism has hardly been defended by anybody among philosophers; virtually no modern philosopher really argued a prescriptive version of the thesis; d) we may accept the grain of truth in ethical relativism by including relativist critique to ethical absolutism into a universalist normative doctrine that be careful in separating open-textured formulations of universal claims from culturally conditioned particular prescriptions. -/- . 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The goal of the Department of Defense Net-Centric Data Strategy is to improve data sharing throughout the DoD. Data sharing is a critical element of interoperability in the emerging system-of-systems. Achieving interoperability requires the elimination of two types of data heterogeneity: differences of syntax and differences of semantics. This paper builds a path toward semantic uniformity through application of a disciplined approach to ontology. An ontology is a consensus framework representing the types of entities within a given domain and (...) the relations between them. The construction of an ontology begins when a Community of Interest (COI) identifies its authoritative data sources (ADS), which are usually manifest in relevant doctrinal publications, glossaries, data dictionaries, and logical data models. The identified terms are then defined in relation to a common logical framework that has been designed to ensure interoperability with other ontologies created on the basis of the same strategy. As will be described, the Command and Control (C2) Ontology will include representations of a substantial number of entities within the Command and Control (C2) domain. If domain ontologies (e.g. Strike and Counterinsurgency) semantically align with the C2 Ontology, then a substantial barrier to systems interoperability is thereby crossed. (shrink)

The success of deep learning in natural language processing raises intriguing questions about the nature of linguistic meaning and ways in which it can be processed by natural and artificial systems. One such question has to do with subword segmentation algorithms widely employed in language modeling, machine translation, and other tasks since 2016. These algorithms often cut words into semantically opaque pieces, such as ‘period’, ‘on’, ‘t’, and ‘ist’ in ‘period|on|t|ist’. The system then represents the resulting segments in a (...) dense vector space, which is expected to model grammatical relations among them. This representation may in turn be used to map ‘period|on|t|ist’ (English) to ‘par|od|ont|iste’ (French). Thus, instead of being modeled at the lexical level, translation is reformulated more generally as the task of learning the best bilingual mapping between the sequences of subword segments of two languages; and sometimes even between pure character sequences: ‘p|e|r|i|o|d|o|n|t|i|s|t’ → ‘p|a|r|o|d|o|n|t|i|s|t|e’. Such subword segmentations and alignments are at work in highly efficient end-to-end machine translation systems, despite their allegedly opaque nature. The computational value of such processes is unquestionable. But do they have any linguistic or philosophical plausibility? I attempt to cast light on this question by reviewing the relevant details of the subword segmentation algorithms and by relating them to important philosophical and linguistic debates, in the spirit of making artificial intelligence more transparent and explainable. (shrink)

Philosophers have had surprisingly little to say about the concept of a victim although it is presupposed by the extensive philosophical literature on rights. Proceeding in four stages, I seek to remedy this deficiency and to offer an alternative to the two current paradigms that eliminates the Othering of victims. First, I analyze two victim paradigms that emerged in the late 20th century along with the initial iteration of the international human rights regime – the pathetic victim paradigm and the (...) heroic victim paradigm. Holocaust victims are quintessential instances of the pathetic victim paradigm. They are marked by passivity and innocence in the face of overpowering force and unspeakable humanly inflicted suffering. Aung San Suu Kyi is an exemplar of the heroic victim paradigm – prisoners of conscience, in Amnesty International’s terms. Because heroic victims face off against the repressive power of the state to fight injustice, they are by no means passive, but they must be innocent of wrongdoing – that is, they must use nonviolent means of dissent – to qualify as heroic victims. Second, I problematize the asymmetrical conceptions of innocence that underwrite the two victim paradigms. Whereas the pathetic victim paradigm identifies innocence with passivity, the heroic victim paradigm countenances agentic victims and adverts to a universalist, absolutist stance on the limits of the legitimate use of state power to ascribe innocence to heroic victims. Both conceptions of innocence are out of keeping with well established social and legal practices regarding what constitutes coercive force and innocent victimhood. Consequently, there is reason to be skeptical of the two victim paradigms. Third, I identify two kinds of human rights violations and two categories of victims that AI defends despite their failure to fit the two paradigms – women trafficked into sex work and prisoners on death row. In many cases, women forced to do sex work are not innocent girls who are ignorant of the trafficking system and who helplessly fall prey to smugglers. They are desperately poor women who for that reason are willing to take enormous risks to try to relieve their own and often their families’ deprivation and suffering. Although these women act nonviolently for irreproachable reasons, they lack the public political agendas that characterize heroic victims. Unless non-fulfillment of subsistence rights is recognized as a form of overpowering force that inflicts severe, avoidable suffering, these women do not qualify as pathetic victims either. The victim paradigms pose an even greater obstacle to recognizing that the death penalty is a human rights violation and that death row prisoners are victims. Because a jury concluded that these individuals committed heinous, violent crimes, they are excluded by the heroic victim paradigm. Only if death row prisoners can be proven (usually through DNA evidence) not to have committed the crimes for which they were convicted can these individuals qualify as pathetic victims. In the absence of any reason to believe that they are innocent and especially if they are unrepentant, they are widely regarded as brutal victimizers of others who deserve no sympathy for, let along relief from, the suffering they “brought on themselves.” Finally, I confront the Othering of victims that results from the two victim paradigms, which leads many victims to eschew the label, thereby opting out of human right discourse. I propose revisions in the victim paradigms that eliminate the real-world exclusions they sponsor as well as the Othering of victims of human rights abuses. In particular, I endorse greater attention to what people and the institutions they create do to other people, and I favor a presumption that unnecessary and severe humanly inflicted suffering is a human rights violation. Moreover, I reject the innocence criterion embedded in the two paradigms and urge that it be replaced by a burdened agency criterion. These modifications better align the concept of a victim with a realistic understanding of human subjectivity and agency and allow for a more capacious understanding of who is a bearer of human rights and under what conditions right-holders become victims of rights violations. (shrink)