The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, (...) what theory can explain the process of moral reasoning, decision and action, for AI entities in virtual, simulated and real-life moral scenarios? This thesis answers these two research questions with its two main contributions to the field of AI ethics, a substantial and a methodological contribution. The substantial contribution is a coherent and novel theory named Ethics of Systems Framework, as well as a possible inception of a new field of study: ethics of systems. The methodological contribution is the creation of its main methodological tool, the Ethics of Systems Interface. The second part of the research effort was focused on testing and demonstrating the capacities of the Ethics of Systems Framework and Interface in modeling and managing moral scenarios in which AI and other entities participate. Further work can focus on building on top of the foundations of the Framework provided here, increasing the scope of moral theories and simulated scenarios, improving the level of detail and parameters to reflect real-life situations, and field-testing the Framework on actual AI systems. (shrink)

The paper presents an analysis of the ethics of abortion and infanticide. The work considers two main approaches: the argument of J.J. Thomson on the right to use his body and the absence of responsibilities regarding the fetus, and the argument about the difference in the moral status of the fetus and the adult, which are used both in the argumentation of supporters and opponents of abortion. The paper shows the fallacy of the first approach, and also, in order (...) for the second approach to remain internally consistent, we must agree that infanticide is permissible. (shrink)

Disruptive technologies can be conceptualized in different ways. Depending on how they are conceptualized, different ethical issues come into play. This article contributes to a general framework to navigate the ethics of disruptive technologies. It proposes three basic distinctions to be included in such a framework. First, emerging technologies may instigate localized “first-order” disruptions, or systemic “second-order” disruptions. The ethical significance of these disruptions differs: first-order disruptions tend to be of modest ethical significance, whereas second-order disruptions are highly significant. (...) Secondly, technologies may be classified as disruptive based on their technological features or based on their societal impact. Depending on which of these classifications one adopts and takes as the starting point of ethical inquiry, different ethical questions are foregrounded. Thirdly, the ethics of disruptive technology raises concerns at four different levels of technology assessment: the technology level, the artifact level, the application level, and the society level. The respective suitability of approaches in technology ethics to address concerns about disruptive technologies co-varies with the respective level of analysis. The article clarifies these distinctions, thereby laying some of the groundwork for an ethical framework tailored for assessing disruptive technologies. (shrink)

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools (...) made and used by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of (...) AI ethics. Finally, I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems—and how the effectiveness in the demands of AI ethics can be improved. (shrink)

Artificial Intelligence (AI) is increasingly adopted in society, creating numerous opportunities but at the same time posing ethical challenges. Many of these are familiar, such as issues of fairness, responsibility and privacy, but are presented in a new and challenging guise due to our limited ability to steer and predict the outputs of AI systems. This chapter first introduces these ethical challenges, stressing that overviews of values are a good starting point but frequently fail to suffice due to the (...) context sensitivity of ethical challenges. Frequently, additional (ethical) values emerge for specific applications, as e.g. challenges with fraud detection are very different from those around language technologies. Second, methods to tackle these challenges are discussed. Main ethical theories (virtue ethics, consequentialism, and deontology) are shown to provide a starting point, but often lack the details needed for actionable AI Ethics. Instead, mid-level philosophical theories coupled to design-approaches such as Design for Values, together with interdisciplinary working methods, offer the best way forwards. The chapter aims to show how these approaches can lead to an ethics of AI that is actionable and that can be proactively integrated in the design of AI systems. (shrink)

There are prima facie ethical reasons and prudential reasons for people to avoid or withdraw from social media platforms. But in response to pushes for people to quit social media, a number of authors have argued that there is something ethically questionable about quitting social media: that it involves — typically, if not necessarily — an objectionable expression of privilege on the part of the quitter. In this paper I contextualise privilege-based objections to quitting social media and explain the underlying (...) principles and assumptions that feed into these objections. I show how they misrepresent the kind of act people are performing in quitting, in part by downplaying its role in promoting reforms in communication systems and technologies. And I suggest that this misrepresentation is related to a more widespread, and ultimately insidious, tendency to think of recently-established technological states of affairs as permanent fixtures of our society. (shrink)

Personal AI assistants are now nearly ubiquitous. Every leading smartphone operating system comes with a personal AI assistant that promises to help you with basic cognitive tasks: searching, planning, messaging, scheduling and so on. Usage of such devices is effectively a form of algorithmic outsourcing: getting a smart algorithm to do something on your behalf. Many have expressed concerns about this algorithmic outsourcing. They claim that it is dehumanising, leads to cognitive degeneration, and robs us of our freedom and autonomy. (...) Some people have a more subtle view, arguing that it is problematic in those cases where its use may degrade important interpersonal virtues. In this article, I assess these objections to the use of AI assistants. I will argue that the ethics of their use is complex. There are no quick fixes or knockdown objections to the practice, but there are some legitimate concerns. By carefully analysing and evaluating the objections that have been lodged to date, we can begin to articulate an ethics of personal AI use that navigates those concerns. In the process, we can locate some paradoxes in our thinking about outsourcing and technological dependence, and we can think more clearly about what it means to live a good life in the age of smart machines. (shrink)

The European project European and Latin American Systems of Ethics Regulation of Biomedical Research Project (EULABOR) has carried out the first comparative analysis of ethics regulation systems for biomedical research in seven countries in Europe and Latin America, evaluating their roles in the protection of human subjects. We developed a conceptual and methodological framework defining ‘ethics regulation system for biomedical research’ as a set of actors, institutions, codes and laws involved in overseeing the ethics (...) of biomedical research on humans. This framework allowed us to develop comprehensive national reports by conducting semi-structured interviews to key informants. These reports were summarised and analysed in a comparative analysis. The study showed that the regulatory framework for clinical research in these countries differ in scope. It showed that despite the different political contexts, actors involved and motivations for creating the regulation, in most of the studied countries it was the government who took the lead in setting up the system. The study also showed that Europe and Latin America are similar regarding national bodies and research ethics committees, but the Brazilian system has strong and noteworthy specificities. (shrink)

This paper aims to outline the foundations for an ethics of digital touch. Digital touch refers to hardware and software technologies, often collectively referred to as ‘haptics’, that provide somatic sensations including touch and kinaesthesis, either as a stand-alone interface to users, or as part of a wider immersive experience. Digital touch has particular promise in application areas such as communication, affective computing, medicine, and education. However, as with all emerging technologies, potential value needs to be considered against potential (...) risk. We therefore identify some areas where digital touch raises ethical concerns, and we identify why these concerns arise, based on the distinctive physiological and functional properties of the human somatosensory system. Most scientific research in digital touch has focused on user interaction with external objects (active touch). However, the most pressing ethical concerns with digital touch technologies arise when users are being passively touched. Our analysis identifies several important questions about control, transparency, and epistemic procedure in digital touch scenarios. First, human somatosensation is “always on”, and many digital touch technologies take advantage of this (e.g., alerting systems). As a result, digital touch technologies can undermine individuals’ sensory autonomy (i.e., the right to choose what sensations one experiences). Second, users may reasonably want to know who or what is touching them, and for what purpose. Consent for digital touch will therefore need to be carefully and transparently transacted. Third, because touch gives us a special, direct experience of interacting with our physical environment, digital touch technologies that manipulate this interaction could potentially provide a major epistemic challenge, by changing a user’s basic understanding of reality and their relation to it. Informed by this discussion, we conclude by suggesting a basis for an ethical design framework for digital touch systems. (shrink)

The American justice system, from police departments to the courts, is increasingly turning to information technology for help identifying potential offenders, determining where, geographically, to allocate enforcement resources, assessing flight risk and the potential for recidivism amongst arrestees, and making other judgments about when, where, and how to manage crime. In particular, there is a focus on machine learning and other data analytics tools, which promise to accurately predict where crime will occur and who will perpetrate it. Activists and academics (...) have begun to raise critical questions about the use of these tools in policing contexts. In this chapter, I review the emerging critical literature on predictive policing and contribute to it by raising ethical questions about the use of predictive analytics tools to identify potential offenders. Drawing from work on the ethics of profiling, I argue that the much-lauded move from reactive to preemptive policing can mean wrongfully generalizing about individuals, making harmful assumptions about them, instrumentalizing them, and failing to respect them as full ethical persons. I suggest that these problems stem both from the nature of predictive policing tools and from the sociotechnical contexts in which they are implemented... (shrink)

Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. (...) tools made and used by humans; here, the main sections are privacy (2.1), manipulation (2.2), opacity (2.3), bias (2.4), autonomy & responsibility (2.6) and the singularity (2.7). Then we look at AI systems as subjects, i.e. when ethics is for the AI systems themselves in machine ethics (2.8.) and artificial moral agency (2.9). Finally we look at future developments and the concept of AI (3). For each section within these themes, we provide a general explanation of the ethical issues, we outline existing positions and arguments, then we analyse how this plays out with current technologies and finally what policy conse-quences may be drawn. (shrink)

The impacts that AI and robotics systems can and will have on our everyday lives are already making themselves manifest. However, there is a lack of research on the ethical impacts and means for amelioration regarding AI and robotics within tourism and hospitality. Given the importance of designing technologies that cross national boundaries, and given that the tourism and hospitality industry is fundamentally predicated on multicultural interactions, this is an area of research and application that requires particular attention. Specifically, (...) tourism and hospitality have a range of context-unique stakeholders that need to be accounted for in the salient design of AI systems is to be achieved. This paper adopts a stakeholder approach to develop the conceptual framework to centralize human values in designing and deploying AI and robotics systems in tourism and hospitality. The conceptual framework includes several layers – ‘Human-human-AI’ interaction level, direct and indirect stakeholders, and the macroenvironment. The ethical issues on each layer are outlined as well as some possible solutions to them. Additionally, the paper develops a research agenda on the topic. (shrink)

The mental health crisis and loneliness epidemic have sparked a growing interest in leveraging artificial intelligence (AI) and chatbots as a potential solution. This report examines the benefits and risks of incorporating chatbots in mental health treatment. AI is used for mental health diagnosis and treatment decision-making and to train therapists on virtual patients. Chatbots are employed as always-available intermediaries with therapists, flagging symptoms for human intervention. But chatbots are also sold as stand-alone virtual therapists or as friends and lovers. (...) There is evidence that these uses of AI and chatbots can provide better quality service, improve accessibility, and lower costs. The systems can reduce the stigma and shame of sharing their problems and leverage a mass of biometric and behavioral data to supplement self-reports. As the systems' intelligence rapidly improves, they will need to be rigorously tested for the accuracy and precision of their diagnoses and the quality of their interactions with patients. As chatbots become indistinguishable from humans and leverage their superhuman capacity to detect affect and draw on knowledge of a patient’s life, patients will be drawn to attribute personality to and relationship with the chatbot. Consequently, it will be essential to study what the “therapeutic alliance” with an actual human counselor provides and the risks of patients attributing such a relationship to a one-sided or “parasocial” relationship. (shrink)

Computers are used to make decisions in an increasing number of domains. There is widespread agreement that some of these uses are ethically problematic. Far less clear is where ethical problems arise, and what might be done about them. This paper expands and defends the Ethical Gravity Thesis: ethical problems that arise at higher levels of analysis of an automated decision-making system are inherited by lower levels of analysis. Particular instantiations of systems can add new problems, but not ameliorate (...) more general ones. We defend this thesis by adapting Marr’s famous 1982 framework for understanding information-processing systems. We show how this framework allows one to situate ethical problems at the appropriate level of abstraction, which in turn can be used to target appropriate interventions. (shrink)

A core historical narrative about anthropological knowledge is that it is created in relations with others, with fieldwork seen as ‘a series of apprenticeships’ whose success is determined by the quality of those relations. An ethnographer connects with the conditions of those studied in ‘circulating exchange’; but on leaving the field a degree of closure is needed to formulate and communicate anthropological knowledge. These obligations and requirements in the creation of knowledge entail attachment and detachment, carrying the seeds of betrayal (...) that can compromise that knowledge. Each epistemological enquiry has its own core ethical imperatives, but as long as knowledge posits a knower, ‘the self of the knower will be at epistemological issue’. In discussing the ethics of knowledge creation I consider the following questions, among others: To what extent is the creation of a particular kind of ethical and epistemic person required for knowledge? How can ethnography produce knowledge about others without betraying them? Can relations of knowledge exchange confer or withhold ‘rights to speak’? Is it possible that unethical relations may destroy or hold up the unfolding of knowledge? And are there circumstances in which it is unethical to disclose knowledge? (shrink)

We live in a world in which ‘smart’ algorithmic tools are regularly used to structure and control our choice environments. They do so by affecting the options with which we are presented and the choices that we are encouraged or able to make. Many of us make use of these tools in our daily lives, using them to solve personal problems and fulfill goals and ambitions. What consequences does this have for individual autonomy and how should our legal and regulatory (...) systems respond? This chapter defends three claims by way of response. First, it argues that autonomy is indeed under threat in some new and interesting ways. Second, it evaluates and disputes the claim that we shouldn’t overestimate these new threats because the technology is just an old wolf in a new sheep’s clothing. Third, and finally, it looks at responses to these threats at both the individual and societal level and argues that although we shouldn’t encourage an attitude of ‘helplessness’ among the users of algorithmic tools there is an important role for legal and regulatory responses to these threats that go beyond what are currently on offer. (shrink)

This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorised, methodologically, according to neoclassical (...) welfare economics. We consider and reply to some methodological objections to MRSs on this basis, concluding that the multistakeholder approach offers the resources to understand the normative social dimension of RSs. (shrink)

The present article deals with specific normative concepts of Spinoza’s ethical system and compares them to certain aspects of the theory of ethics of social consequences. At first, a way to approach the problem of normativity in Spinoza is presented, concentrating on the obligatory character of rational - or intellectual - motives. Then, theoretical evidence is presented which links Spinoza to normative-ethical consequentialism. The basis for a consequentialist model of Spinoza’s ethics is the concept of perfection, and on (...) this basis it seems possible to consider its compatibility with non-utilitarian forms of consequentialism, such as ethics of social consequences. Conclusively, the paper’s aim is to present the possibility of considering Spinozian consequentialism as a non-utilitarian consequentialism, while considering ethics of social consequences as a contemporary form of Spinozian consequentialism. (shrink)

Polarization often happens asymmetrically. One political actor radicalizes, and the results reverberate through the political system. This is how the deep divisions in contemporary American politics arose: the Republican Party radicalized. Republican officeholders began to use extreme legislative tactics. Republican voters became animated by contempt for their political rivals and by the defense of their own social superiority. The party as a whole launched a wide-ranging campaign of voter suppression and its members endorsed violence in the face of electoral defeat. (...) This paper is about how such asymmetric polarization affects everyone else’s obligations. My core claim is that two kinds of relationship – civic friendship and non-subordination – underpin critical democratic norms. Republican misbehavior has severed cross-partisan civic friendships. Their authoritarianism forfeits their claim to non-subordination. The former means that non-Republicans need not justify policy on public grounds. The latter undercuts Republicans’ claim to enjoy minority vetoes when out of power and it gives their rivals reason to disobey the laws that Republicans make when they are in power. More generally, when one political actor contravenes the proper norms of democratic politics, their opposition is not bound by those norms. (shrink)

The current global COVID-19 pandemic has led to a deep and multidimensional crisis across all sectors of society. As countries contemplate their mobility and social-distancing policy restrictions, we have a unique opportunity to re-imagine the deliberative frameworks and value priorities in our food systems. Pre-pandemic food systems at global, national, regional and local scales already needed revision to chart a common vision for sustainable and ethical food futures. Re-orientation is also needed by the relevant sciences, traditionally siloed in (...) their disciplines and without adequate attention paid to how the food system problem is variously framed by diverse stakeholders according to their values. From the transdisciplinary perspective of food ethics, we argue that a post-pandemic scheme focused on bottom-up, regional, cross-sectoral and non-partisan deliberation may provide the re-orientation and benchmarks needed for not only more sustainable, but also more ethical food futures. (shrink)

This paper examines the trait of submissiveness within the framework of virtue ethics. Submissiveness is generally regarded as a vice, particularly when evaluated in reference to patriarchal systems. This paper argues that there is something valuable about the trait of submissiveness—when it functions as a virtue—that is lacking in secular contexts, and this lack detracts from the possibilities of a good life.

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the (...) classic counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms are thus needed that help organisations design and deploy ADMS in ways that are ethical, while enabling society to reap the full economic and social benefits (...) of automation. In this article, we consider the feasibility and efficacy of ethics-based auditing as a governance mechanism that allows organisations to validate claims made about their ADMS. Building on previous work, we define EBA as a structured process whereby an entity’s present or past behaviour is assessed for consistency with relevant principles or norms. We then offer three contributions to the existing literature. First, we provide a theoretical explanation of how EBA can contribute to good governance by promoting procedural regularity and transparency. Second, we propose seven criteria for how to design and implement EBA procedures successfully. Third, we identify and discuss the conceptual, technical, social, economic, organisational, and institutional constraints associated with EBA. We conclude that EBA should be considered an integral component of multifaced approaches to managing the ethical risks posed by ADMS. (shrink)

My analysis takes as its point of departure the controversial assumption that contemporary ethical theories cannot capture adequately the ethical and social challenges of scientific and technological development. This assumption is rooted in the argument that classical ethical theory invariably addresses the issue of ethical responsibility in terms of whether and how intentional actions of individuals can be justified. Scientific and technological developments, however, have produced unintentional consequences and side-consequences. These consequences very often result from collective decisions concerning the way (...) we wish to organise our economies and society, rather than from individual actions. It has been apparent for a long time now that it is not sufficient to construct an ethics of science and technology on the basis of the image of a scientist who intentionally wants to create a Frankenstein. Thus, as a minimum we would require an ethical framework that addresses both the aspect of unintentional side consequences (rather than intentional actions) and the aspect of collective decisions (rather than individual decisions) with regard to complex societal systems, such as the operation of our economy. We do not have such a theory available. More disturbing than the principle shortcomings of ethical theory are the shortcomings of conventional ethical practice with respect to technological developments. Below I will suggest how four different developments can illustrate these shortcomings, which centre around the fact that individuals in our society can simply not be held fully accountable for their individual role within the context of scientific technological developments. I will call these shortcomings of a theory (and practice) of individual role responsibility. This may help us to reflect on robotics too, insofar as robots may be perceived as replacements for “roles”. From there, I will argue why we have to shift our attention to an ethics of knowledge assessment in the framework of deliberative procedures. (shrink)

This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system.

Payment models directly impact the way patients experience care. Historically, payment model innovations have been examined mostly from economic, organizational, and public health lenses. Financial incentives exist in all healthcare systems, whether a socialized, private or public insurance, or single payer system. This article examines the alignment of current predominant payment models of fee-for-service, capitation, and value-based payments with patient care ethics. The volume-based incentive of fee-for-service is misaligned with patient care, while capitation is a relatively neutral and (...) highly modifiable model. Value-based payments offer a unique benefit in improving patient agency and have a larger benefit of cost control. However, no model adequately addresses health disparities, and a larger consideration for justice is needed by payment model designers when considering incentives. In consideration of related values, bioethics must expand the discourse around patient care ethics to cover patient interactions with the health system and market forces outside the clinical context. (shrink)

This article brings animal protection theory to bear on Temple Grandin’s work, in her capacity both as a designer of slaughter facilities and as an advocate for omnivorism. Animal protection is a better term for what is often termed animal rights, given that many of the theories grouped under the animal rights label do not extend the concept of rights to animals. I outline the nature of Grandin’s system of humane slaughter as it pertains to cattle. I then outline four (...) arguments Grandin has made defending meat-eating. On a protection-based approach, I argue, Grandin’s system of slaughter is superior to its traditional counterpart. Grandin’s success as a designer of humane slaughterhouses however is not matched by any corresponding success in offering a moral defence of meat-eating. Despite, or perhaps because of, the popularity of her work, Grandin’s arguments for continuing to eat animals are noteworthy only in how disappointing and rudimentary they are. If we can thank Grandin for making a difference in the lives of millions of farm animals, her work can also be criticized for not engaging the moral status of animals with the depth and rigor that it deserves. (shrink)

Imagine you are casually browsing an online bookstore, looking for an interesting novel. Suppose the store predicts you will want to buy a particular novel: the one most chosen by people of your same age, gender, location, and occupational status. The store recommends the book, it appeals to you, and so you choose it. Central to this scenario is an automated prediction of what you desire. This article raises moral concerns about such predictions. More generally, this article examines the (...) class='Hi'>ethics of artificial social cognition—the ethical dimensions of attribution of mental states to humans by artificial systems. The focus is presumptuous aim attributions, which are defined here as aim attributions based crucially on the premise that the person in question will have aims like superficially similar people. Several everyday examples demonstrate that this sort of presumptuousness is already a familiar moral concern. The scope of this moral concern is extended by new technologies. In particular, recommender systems based on collaborative filtering are now commonly used to automatically recommend products and information to humans. Examination of these systems demonstrates that they naturally attribute aims presumptuously. This article presents two reservations about the widespread adoption of such systems. First, the severity of our antecedent moral concern about presumptuousness increases when aim attribution processes are automated and accelerated. Second, a foreseeable consequence of reliance on these systems is an unwarranted inducement of interpersonal conformity. (shrink)

ABSTRACT This paper is an analysis on the phenomenological notions of ethics, which Simon de Beauvoir calls as the ethics of ambiguity. Human beings always face ambiguity in their situations of lived world. As far as one is living the life, the ambiguity is unavoidable in her/his actions. Though one tries to hold on the philosophy of internality, to assert no external things are affecting in defining her/his actions or ethical positions, the ambiguity prevails. Simone de Beauvoir’s noted (...) book, Ethics of Ambiguity established that ethics could be understood only in real life contexts. This paper is an attempt to see her arguments from phenomenological approach to maintain that her ethics is more phenomenological than existential. This is a study on ethics from a feminist point of view too, to critically approach the absolute moral values of systems of hierarchy as patriarchy that divide human beings as oppressed and oppressor. -/- . (shrink)

In this paper I critique the ethical implications of automating CCTV surveillance. I consider three modes of CCTV with respect to automation: manual, fully automated, and partially automated. In each of these I examine concerns posed by processing capacity, prejudice towards and profiling of surveilled subjects, and false positives and false negatives. While it might seem as if fully automated surveillance is an improvement over the manual alternative in these areas, I demonstrate that this is not necessarily the case. In (...) preference to the extremes I argue in favour of partial automation in which the system integrates a human CCTV operator with some level of automation. To assess the degree to which such a system should be automated I draw on the further issues of privacy and distance. Here I argue that the privacy of the surveilled subject can benefit from automation, while the distance between the surveilled subject and the CCTV operator introduced by automation can have both positive and negative effects. I conclude that in at least the majority of cases more automation is preferable to less within a partially automated system where this does not impinge on efficacy. (shrink)

This special issue of Ethics and Information Technology focuses on the ethics of new and emerging information technology (IT). The papers have been selected from submissions to the sixth international conference on Computer Ethics: Philosophical Enquiry (CEPE2005), which took place at the University of Twente, the Netherlands, July 17–19, 2005. -/- .

On the basis of Karl-Otto Apels’ diagnosis of the shortcomings of philosophical ethics in general, and any ethics of individual accountability in particular, I give an outline how these shortcoming are currently to be articulated in the context of ecological crisis and socio-technical change. This will be followed with three interpretations of Karl-Otto Apels’ proposal for an ethics of collective coresponsibility. In conclusion, I will advocate that only a further social evolution of the systems of science, (...) economy and law will enable a possible institutionalization of collective co-responsibility by means of a new innovation paradigm: responsible innovation. (shrink)

Virtue ethics is frequently billed as a remedy to the problems of deontological and consequentialist ethics that Bernard Williams identified in his critique of “the morality system.” But how far can virtue ethics be relied upon to avoid these problems? What does Williams’s critique of the morality system mean for virtue ethics? To answer this question, we offer a more principled characterisation of the defining features of the morality system in terms of its organising ambition—to shelter (...) life against luck. This reveals the system to be multiply realisable: the same function can be served by substantively different but functionally equivalent ideas. After identifying four requirements that ethical thought must meet to function as a morality system, we show that they can also be met by certain constellations of virtue-ethical ideas. We thereby demonstrate the possibility of virtue-ethical morality systems raising problems analogous to those besetting their deontological and consequentialist counterparts. This not only widens the scope of Williams’s critique and brings out the cautionary aspect of his legacy for virtue ethics. It also offers contemporary virtue ethicists a more principled understanding of the functional features that mark out morality systems and lie at the root of their problems, thereby helping them to avoid or overcome these problems. (shrink)

Lockdowns were a morally and medically appropriate anti-contagion policy to stop the spread of Covid. However, lockdowns came with considerable costs. Specifically, lockdowns imposed harms and losses upon the young in order to benefit the elderly, who were at the highest risk of severe illness and death from Covid. This represented a shifting of the (epidemiological) burden of Covid for the elderly to a systemic burden of lockdown upon the young. This article argues that even if lockdowns were a morally (...) permissible response to Covid, the harms and losses they imposed on the young ground a claim of compensation. I defend an intergenerational compensation argument that defends a claim for an egalitarian intergenerational transfer to compensate the young for the harms of lockdown. (shrink)

A précis of my book Pragmatist Quietism: A Meta-Ethical System (OUP, 2022); forthcoming in Analysis along with commentaries and my replies.

It is commonly accepted that clinicians are ethically obligated to disclose their use of medical machine learning systems to patients, and that failure to do so would amount to a moral fault for which clinicians ought to be held accountable. Call this ‘the disclosure thesis.’ Four main arguments have been, or could be, given to support the disclosure thesis in the ethics literature: the risk-based argument, the rights-based argument, the materiality argument and the autonomy argument. In this article, (...) I argue that each of these four arguments are unconvincing, and therefore, that the disclosure thesis ought to be rejected. I suggest that mandating disclosure may also even risk harming patients by providing stakeholders with a way to avoid accountability for harm that results from improper applications or uses of these systems. (shrink)

With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently called for investigations of the impact of pertinent technology on humans’ ethical decision-making. To this end, this article conducts a systematic review of existing scholarship and derives an integrated framework that demonstrates how intelligent decision-support systems (IDSSs) shape (...) humans’ ethical decision-making. In particular, we identify resulting consequences on an individual level (i.e., deliberation enhancement, motivation enhancement, autonomy enhancement and action enhancement) and on a societal level (i.e., moral deskilling, restricted moral progress and moral responsibility gaps). We carve out two distinct methods/operation types (i.e., processoriented and outcome-oriented navigation) that decision-support systems can deploy and postulate that these determine to what extent the previously stated consequences materialize. Overall, this study holds important theoretical and practical implications by establishing clarity in the conceptions, underlying mechanisms and (directions of) influences that can be expected when using particular IDSSs for ethical decisions. (shrink)

This paper discusses the philosophical issues pertaining to Kantian moral agency and artificial intelligence. Here, our objective is to offer a comprehensive analysis of Kantian ethics to elucidate the non-feasibility of Kantian machines. Meanwhile, the possibility of Kantian machines seems to contend with the genuine human Kantian agency. We argue that in machine morality, ‘duty’ should be performed with ‘freedom of will’ and ‘happiness’ because Kant narrated the human tendency of evaluating our ‘natural necessity’ through ‘happiness’ as the end. (...) Lastly, we argue that the Kantian ‘freedom of will’ and ‘faculty of choice’ do not belong to any deterministic model of ‘agency’ as these are sacrosanct systems. The conclusion narrates the non-feasibility of Kantian AI agents from the genuine Kantian ethical outset, offering a utility-based Kantian ethical performer instead. (shrink)

Ethical banking is a system of banking where a bank is concerned with the social impact of its activities. In case of India, ethics based banking is having a robust banking network which caters to all the segments of the society while being conscious of the holistic wellbeing of the economy. In this essay I have dealt with the ethical issue of whether we would be justified in blaming the agriculture and the SME for the growing Non-performing Assets (NPAs) (...) in Indian banks. (shrink)

This paper outlines ethical problems with the regional quota systems used in Japanese medical schools from the perspective of the autonomous choice of doctors and medical students. “Regional quotas” have been established in university medical schools in Japan to cultivate doctors for rural areas, and the percentage of such quotas has been significantly increasing in recent years. This study mainly focuses on the regional quota systems for medical schools whereby medical students receive scholarships on the condition that they (...) work in community medicine for a certain period after graduating and are exempt from repaying the scholarship depending on the fulfillment of their obligations. In many cases, the regional quota systems impose penalties on those who leave to prevent withdrawal, and some claim that it is morally impermissible to withdraw from the contract. Thus, the study reviews regional quota systems and argues that these systems contain contracts that restrict the signatory’s freedom of residence and professional choice for more than a decade, and that it is difficult to withdraw from the contract because of the penalties. Consequently, it demonstrates that these contracts are morally unjust as they severely restrict the autonomous choice of doctors and medical students. In conclusion, the current regional quota systems are morally impermissible and local authorities should recruit new doctors without using such systems. (shrink)

This chapter examines how social- scientific research on public preferences bears on the ethical question of how those resources should in fact be allocated, and explain how social-scientific researchers might find an understanding of work in ethics useful as they design mechanisms for data collection and analysis. I proceed by first distinguishing the methodologies of social science and ethics. I then provide an overview of different approaches to the ethics of allocating scarce medical interventions, including an approach—the (...) complete lives system—which I have previously defended, and a brief recap of social-scientific research on the allocation of scarce medical resources. Following these overviews, I examine different ways in which public preferences could matter to the ethics of allocation. Last, I suggest some ways in which social scientists could learn from ethics as they conduct research into public preferences regarding the allocation of scarce medical resources. (shrink)

Despite of the undeniable advantages and surprising applications of them in training and industry as well as cultures of different countries, there have been many ethical issues concerning intelligent and computer systems. Presenting a definition of artificial intelligence and intelligent systems, the research paper deals with the shared ethical issues of intelligent systems, computer systems as well as the global network; and then it concentrates on the most important ethical issues of two types of intelligent (...) class='Hi'>systems, i.e. data-analysis system and expert system. (shrink)

Consistent and well-designed frameworks for ethical oversight enable socially valuable research while forestalling harmful or poorly designed studies. I suggest some alterations that might strengthen the valuable checklist Rattani & Hyder propose for the ethical review of health policy and systems research (HPSR), or prompt future work in the area.

Democratic systems ought to have certain central tenets that act as ethical boundaries. The violation of these ethical boundaries relegates democratic systems to mere mirages, perversions and phantoms. The market fundamentalistic stance of neo-liberalism leads to the abuse of virtually all the central tenets of democracy. Neo-liberalism advocates for a weak interventionist state in terms of fostering human rights and social justice and a strong regulatory state in terms of protecting and promoting markets and private property. Democracy on (...) the other hand calls for a strong interventionist state to implement the human rights and social justice mandate on behalf of the people and a strong regulatory state to curtail the abuse of human rights and social justice. This paper argues that in neo-liberal states like Uganda, markets and the accumulations of private property in most cases through primitive accumulation take precedence over democracy. This has culminated into privations of democracy such as; autocratic majoritarianism, mobocracy, kleptocracy, prebendalism and neo-patrimonialism. (shrink)

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. The system (...) / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient’s identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations. (shrink)

Some physicians, in their care of patients at risk of misusing opioids, use machine learning (ML)-based prediction drug monitoring programmes (PDMPs) to guide their decision making in the prescription of opioids. This can cause a conflict: a PDMP Score can indicate a patient is at a high risk of opioid abuse while a patient expressly reports oppositely. The prescriber is then left to balance the credibility and trust of the patient with the PDMP Score. Pozzi1 argues that a prescriber who (...) downgrades the credibility of a patient’s testimony based on a low PDMP Score is epistemically and morally unjustified and contributes to a form of testimonial injustice. This results in patients being silenced, excluded from decision-making processes and subjected to structural injustices. Additionally, the use of ML systems in medical practices raises concerns about perpetuating existing inequalities, overestimating their capabilities and displacing human authority. However, almost the very same critiques apply to human-based systems. Formalisation, ML systems included, should instead be viewed positively,2 and precisely as a powerful means to begin eroding these and other problems in ethically sensitive domains. In this case, the epistemic virtues of formalisation include promoting transparency, consistency and replicability in decision making. Rigorous ML systems can also help ensure that models …. (shrink)

This article brings Gillian Brock and Alex Sager's recently published books into conversation with my book, Immigration and Democracy. It begins with a summary of the main normative arguments of my book to set the stage for critical engagement with Brock and Sager's books. While I agree with Brock's Justice for People on the Move that state power must be justified to both insiders and outsiders, I think she gives too little weight to the value of collective self-determination. I distinguish (...) between justice and collective self-determination and argue that each is an important component of legitimacy. Sager's Against Borders focuses on immigration enforcement and contends that violence is inherent in border controls. Every legal system is backed by the threat of the use of force; the question is whether the use of force by state agents is justified. In contrast to Sager, I argue that the proper response to the injustices of current immigration enforcement is reform, not abolition, of the immigration system. (shrink)

Table of Contents Foreword .................................................................................................... ......................................... xiv Preface .................................................................................................... .............................................. xv Acknowledgment .................................................................................................... .......................... xxiii Section 1 On the Cusp: Critical Appraisals of a Growing Dependency on Intelligent Machines Chapter 1 Algorithms versus Hive Minds and the Fate of Democracy ................................................................... 1 Rick Searle, IEET, USA Chapter 2 We Can Make Anything: Should We? .................................................................................................. 15 Chris Bateman, University of Bolton, UK Chapter 3 Grounding Machine Ethics within the Natural System ........................................................................ 30 Jared Gassen, JMG Advising, USA Nak Young Seong, Independent Scholar, (...) South Korea Section 2 From the Outside In: Intelligent Machine Technologies as a Window on Human Morality both as Evolved and as Evident in Internet Discourse, Today Chapter 4 The Emergence of Arti cial Autonomy: A View from the Foothills of a Challenging Climb ............. 51 Fernando da Costa Cardoso, Universidade Nova de Lisboa, Portugal Luís Moniz Pereira, Universidade Nova de Lisboa, Portugal Chapter 5 Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality .... 73 Rafal Rzepka, Hokkaido University, Japan Kenji Araki, Hokkaido University, Japan Section 3 From the Inside Out: The Ethics of Human Enhancement from Moral Perception to Competition in the Workplace Chapter 6 Machine Ethics Interfaces: An Ethics of Perception of Nanocognition ............................................... 97 Melanie Swan, Kingston University, UK Chapter 7 Ethical Concerns in Human Enhancement: Advantages in Corporate/Organizational Settings ......... 124 Ben Tran, Alliant International University, USA Section 4 From Far to Near and Near to Far: The Ethics of Distancing Technologies in Education and Warfare Chapter 8 Responsibility and War Machines: Toward a Forward-Looking and Functional Account ................. 152 Jai Galliott, Macquarie University, Australia Chapter 9 Ethical Responsibilities of Preserving Academicians in an Age of Mechanized Learning: Balancing the Demands of Educating at Capacity and Preserving Human Interactivity ................... 166 James E. Willis III, Indiana University, USA Viktoria Alane Strunk, Independent Scholar, USA Section 5 Wrapping Things Up, then Unwrapping Them Again: Integral Visions of Morality in a Technological World, Over Evolutionary Time, with Revolutionary Means, and with Open Questions about the Final Purpose of It All Chapter 10 Bridging Two Realms of Machine Ethics ........................................................................................... 197 Luís Moniz Pereira, Universidade Nova de Lisboa, Portugal Ari Saptawijaya, Universidade Nova de Lisboa, Portugal & Universitas Indonesia, Indonesia Chapter 11 Robots in Warfare and the Occultation of the Existential Nature of Violence ................................... 225 Rick Searle, IEET, USA Chapter 12 Self-Referential Complex Systems and Aristotle’s Four Causes ........................................................ 239 Aleksandar Malecic, University of Nis, Serbia Related References .................................................................................................... ........................ 261 Compilation of References .................................................................................................... ........... 292 About the Contributors .................................................................................................... ................ 325 Index .................................................................................................... ............................................... 329 . (shrink)

The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on (...) nonracial biases that may be less considered when addressing biases in AI systems in the existing literature. In the manuscript, we found that the existence of bias in AI systems used for COVID-19 can result in algorithmic justice and that the legal frameworks and strategies developed to prevent the apparition of bias have failed to adequately consider social determinants of health. Finally, we make some recommendations on how to include more diverse professional profiles in order to develop AI systems that increase the epistemic diversity needed to tackle AI biases during the COVID-19 pandemic and beyond. (shrink)