Turing used the expression “emotional” in three distinct ways: to state his philosophical theory of the concept of intelligence, to classify arguments for and against the possibility of machine intelligence, and to describe the education of a “child machine”. The remarks on emotion include several of the most important philosophical claims. This paper analyses these remarks and their significance for current research in Artificial Intelligence.

Memory is everywhere in Blade Runner 2049. From the dead tree that serves as a memorial and a site of remembrance (“Who keeps a dead tree?”), to the ‘flashbulb’ memories individuals hold about the moment of the ‘blackout’, when all the electronic stores of data were irretrievably erased (“everyone remembers where they were at the blackout”). Indeed, the data wiped out in the blackout itself involves a loss of memory (“all our memory bearings from the time, they were all damaged (...) in the blackout”). Memory, and lack of it, permeates place, where from the post-blackout Las Vegas Deckard remembers it as somewhere you could “forget your troubles.” Memory is a commodity, called upon and consumed by the Wallace Corporation, purchased from the memory-maker, Dr Ana Stelline, who constructs and implants “the best memories” in replicants so as to instil in them real human responses. Memory is ubiquitous in Blade Runner 2049, involving humans, replicants, objects, and machines. Even “God,” we are told, “remembered Rachael.” Nowhere, though, is the depiction of memory more important than in the attempt to solve a question of identity. Officer K has a memory of his past. Even though he knows it is an implant, it is a memory he is emotionally attached to, frequently narrating it to Joi, his digital girlfriend. But it is a memory that starts to puzzle and trouble him. When K discovers the remains of a dead replicant, a female NEXUS-7, he uncovers a secret—this replicant was pregnant and died during childbirth, a discovery that could “break the world.” K is charged with hunting down the child and making the problem disappear. Yet as K starts seeking answers to the question of the child’s identity he gets inextricably caught up in the mystery. Is he merely Officer K, or is he Joe, the miracle child of Rachael and Deckard? The answer to this question hinges on K’s memory. But is the memory genuine? Is the memory his? Blade Runner 2049 encourages us to think deeply about the nature of memory, identity, and the relation between them. Indeed, the film does not just serve as a starting point for thinking about philosophical issues related to memory and identity. Rather, as we show in this chapter, the film seems to offer a view on these philosophical issues. Blade Runner 2049 offers us a view of memory as spread out over people, objects, and the environment, and it shows us that memory’s role in questions of identity goes beyond merely accurately recalling one’s past. Identity depends not on memory per se, but partly on what we use memory for. (shrink)

The notion of a mental interior has been derided as a Cartesian relic, the 'ghost in the machine' (Ryle, 1963). Yet there is a mental interior — indeed, there are two — only not where we tend to look. When a toddler talks to herself before sleep, she often plays the part of a parent toward herself, mitigating the dread of separation. She thus creates a pretend space between herself-as-parent and herself-as-child. Growing up, she plays others toward herself (...) as well. She and her simulated interlocutors are experienced by her as an expanded self with an inside, namely the place of inner speech. This pretend space is the first non-bodily interior. The second develops as a consequence. The simulated others diminish the dependence on actual others, who therefore cease to appear in their former importance. One yearns for them as they were, but the yearning is blocked — and banished from awareness — by dread of reverting to the earlier dependence. This second interior is the space between the unconscious self and the full kind of other for whom it yearns. The yearning enters conscious life indirectly and unthreateningly, for example in the fictive frame of art and in the relational frame of conversation. (shrink)

Robots as social companions in close proximity to humans have a strong potential of becoming more and more prevalent in the coming years, especially in the realms of elder day care, child rearing, and education. As human beings, we have the fascinating ability to emotionally bond with various counterparts, not exclusively with other human beings, but also with animals, plants, and sometimes even objects. Therefore, we need to answer the fundamental ethical questions that concern human-robot-interactions per se, and we (...) need to address how we conceive of »good lives«, as more and more of the aspects of our daily lives will be interwoven with social robots. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence (...) from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

In July 2014, the roboticist Ronald Arkin suggested that child sex robots could be used to treat those with paedophilic predilections in the same way that methadone is used to treat heroin addicts. Taking this onboard, it would seem that there is reason to experiment with the regulation of this technology. But most people seem to disagree with this idea, with legal authorities in both the UK and US taking steps to outlaw such devices. In this paper, I subject (...) these different regulatory attitudes to critical scrutiny. In doing so, I make three main contributions to the debate. First, I present a framework for thinking about the regulatory options that we confront when dealing with child sex robots. Second, I argue that there is a prima facie case for restrictive regulation, but that this is contingent on whether Arkin’s hypothesis has a reasonable prospect of being successfully tested. Third, I argue that Arkin’s hypothesis probably does not have a reasonable prospect of being successfully tested. Consequently, we should proceed with utmost caution when it comes to this technology. (shrink)

Parenting involves an extraordinary degree of power over children. Republicans are concerned about domination, which, on one view, is the holding of power that fails to track the interests of those over whom it is exercised. On this account, parenting as we know it is dominating due to the low standards necessary for acquiring and retaining parental rights and the extent of parental power. Domination cannot be fully eliminated from child-rearing without unacceptable loss of value. Most likely, republicanism requires (...) that we minimise children’s domination. I examine alternative models of child-rearing that are immune to republican criticism. (shrink)

Child soldiers, who often appear to be both victims and perpetrators, present a vexing moral and legal challenge: how can we protect the rights of children while seeking justice for the victims of war crimes? There has been little stomach, either in domestic or international courts, for prosecuting child soldiers—but neither has this challenge been systematically addressed in international law. Establishing a uniform minimum age of criminal responsibility would be a major step in the right direction; we argue (...) that such a standard ought to be guided by the best evidence from neuropsychology about the development, during childhood and adolescence, of the executive functions that give rise to morally and legally responsible agents. In light of that evidence, which suggests that the brain’s executive functions are still maturing into early adulthood, we recommend a graded structure of culpability for child soldiers. (shrink)

The global response to child labour is based on the standards set by three major international conventions. This review examines the historical development of the conceptualizations of various forms of child labour, relevant views and perspectives, contemporary theoretical underpinnings, and policy suggestions. The emerging evidence shows that child labour incidences in all its forms have increased in many parts of the world, and the global target to eradicate child labour by 2025 seems unattainable. The evaluation indicates (...) that the current global age-based abolitionist policy to fight child labour has lost some ground. The covid-19 pandemic has worsened the situation and the worst forms of child labour have become even more widespread and deeply normalized in many contexts and communities. The current scholarship of child labour remains critically ignorant of the relevant societal and cultural norms. Contemporary theorists and empiricists emphasize on constructing knowledge with the children and families engaged in child labour and focusing on finding innovative community-led alternatives to the worst forms of child labour. Regulations, policies, and support programmes must recognize the economic contribution of working children and work towards the children's best interests. (shrink)

According to the most popular theories of intentionality, a family of theories we will refer to as “functional intentionality,” a machine can have genuine intentional states so long as it has functionally characterizable mental states that are causally hooked up to the world in the right way. This paper considers a detailed description of a robot that seems to meet the conditions of functional intentionality, but which falls victim to what I call “the composition problem.” One obvious way to (...) escape the problem (arguably, the only way) is if the robot can be shown to be a moral patient – to deserve a particular moral status. If so, it isn’t clear how functional intentionality could remain plausible (something like “phenomenal intentionality” would be required). Finally, while it would have seemed that a reasonable strategy for establishing the moral status of intelligent machines would be to demonstrate that the machine possessed genuine intentionality, the composition argument suggests that the order of precedence is reversed: The machine must first be shown to possess a particular moral status before it is a candidate for having genuine intentionality. (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

The machine conception of the organism (MCO) is one of the most pervasive notions in modern biology. However, it has not yet received much attention by philosophers of biology. The MCO has its origins in Cartesian natural philosophy, and it is based on the metaphorical redescription of the organism as a machine. In this paper I argue that although organisms and machines resemble each other in some basic respects, they are actually very different kinds of systems. I submit (...) that the most significant difference between organisms and machines is that the former are intrinsically purposive whereas the latter are extrinsically purposive. Using this distinction as a starting point, I discuss a wide range of dissimilarities between organisms and machines that collectively lay bare the inadequacy of the MCO as a general theory of living systems. To account for the MCO’s prevalence in biology, I distinguish between its theoretical, heuristic, and rhetorical functions. I explain why the MCO is valuable when it is employed heuristically but not theoretically, and finally I illustrate the serious problems that arise from the rhetorical appeal to the MCO. (shrink)

The creation of artificial moral systems requires us to make difficult choices about which of varying human value sets should be instantiated. The industry-standard approach is to seek and encode moral consensus. Here we argue, based on evidence from empirical psychology, that encoding current moral consensus risks reinforcing current norms, and thus inhibiting moral progress. However, so do efforts to encode progressive norms. Machine ethics is thus caught between a rock and a hard place. The problem is particularly acute (...) when progress beyond prevailing moral norms is particularly urgent, as is currently the case due to the inadequacy of prevailing moral norms in the face of the climate and ecological crisis. (shrink)

Whether it was John Searle’s Chinese Room argument (Searle, 1980) or Roger Penrose’s argument of the non-computable nature of a mathematician’s insight – an argument that was based on Gödel’s Incompleteness theorem (Penrose, 1989), we have always had skeptics that questioned the possibility of realizing strong Artificial Intelligence (AI), or what has become known by Artificial General Intelligence (AGI). But this new book by Landgrebe and Smith (henceforth, L&S) is perhaps the strongest argument ever made against strong AI. It is (...) a very extensive review of what building a mind essentially amounts to drawing on insights and results from biology, physics, linguistics, computability, philosophy, and mathematics. (shrink)

Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also (...) discuss how work in embodied and situated cognition could provide a valu- able perspective on future research. (shrink)

We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual underpinnings, in (...) order to help emphasise the relevant issues. To answer the question, we review a large number of empirical studies, in which samples of behaviour are used to automatically infer a range of psychological constructs, including affect and emotions, aptitudes and skills, attitudes and orientations (e.g. values and sexual orientation), personality, and disorders and conditions (e.g. depression and addiction). We also present a general perspective that can bring these disparate studies together and allow us to think clearly about their philosophical and ethical implications, such as issues related to consent, privacy, and the use of persuasive technologies for controlling human behaviour. (shrink)

We construct a machine that knows its own code, at the price of not knowing its own factivity.

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)

3rd ed, 2021. A circumscription of the classical theory of computation building up from the Chomsky hierarchy. With the usual topics in formal language and automata theory.

This article critically examines one of the most prevalent metaphors in modern biology, namely the machine conception of the organism (MCO). Although the fundamental differences between organisms and machines make the MCO an inadequate metaphor for conceptualizing living systems, many biologists and philosophers continue to draw upon the MCO or tacitly accept it as the standard model of the organism. This paper analyses the specific difficulties that arise when the MCO is invoked in the study of development and evolution. (...) In developmental biology the MCO underlies a logically incoherent model of ontogeny, the genetic program, which serves to legitimate three problematic theses about development: genetic animism, neo-preformationism, and developmental computability. In evolutionary biology the MCO is responsible for grounding unwarranted theoretical appeals to the concept of design as well as to the interpretation of natural selection as an engineer, which promote a distorted understanding of the process and products of evolutionary change. Overall, it is argued that, despite its heuristic value, the MCO today is impeding rather than enabling further progress in our comprehension of living systems. (shrink)

The aggressive intrusion of science, technology and technology into the space of children as the least protected social group requires their protection from aggressive anthropologically-oriented practices. However, regularly conducted theoretical discussions of this problem do not lead to the solution of the problem of the ecology of childhood, since only one of the possible forms of understanding reality has been fixed within the framework of the international humanitarian and scientific community. We are talking about conceptual reasoning thinking, which is based (...) on classification concepts and provides for a pluralism of opinions, the multitude of which does not lead to unambiguous scientific humanitarian knowledge for everyone. The created conditions do not contribute to the emergence of an interdisciplinary research methodology, the formation of which is associated with the need for a fundamentally different way of thinking – thinking in comparative terms, which, unlike the natural sciences, is absent today in humanitarian knowledge. Whereas the new thinking proposed in this article, consisting in the ability to identify the different and distinguish the identical (one) within the natural range of comparative concepts, on the contrary, is a tool for integrating knowledge, therefore, in my opinion, it should be introduced into the sphere of traditional school education. In this connection, the main academic subjects will be reorganized around each of the comparative concepts and constructed in a certain order. As a result, students – schoolchildren or students - will learn to see the same content behind different physical or social phenomena, so the problem of memorizing large volumes of educational material disappears. The new approach will accelerate the process of formation of an interdisciplinary methodology of socio-cultural analysis, will contribute to the implementation of a comprehensive state policy, will give a new impetus to socio-cultural and anthropo-pedagogical practice. (shrink)

The fact that real-world decisions made by artificial intelligences are often ethically loaded has led a number of authorities to advocate the development of “moral machines”. I argue that the project of building “ethics” “into” machines presupposes a flawed understanding of the nature of ethics. Drawing on the work of the Australian philosopher, Raimond Gaita, I argue that ethical dilemmas are problems for particular people and not problems for everyone who faces a similar situation. Moreover, the force of an ethical (...) claim depends in part on the life history of the person who is making it. For both these reasons, machines could at best be engineered to provide a shallow simulacrum of ethics, which would have limited utility in confronting the ethical and policy dilemmas associated with AI. (shrink)

A number of findings in the field of machine learning have given rise to questions about what it means for automated scoring- or decisionmaking systems to be fair. One center of gravity in this discussion is whether such systems ought to satisfy classification parity (which requires parity in accuracy across groups, defined by protected attributes) or calibration (which requires similar predictions to have similar meanings across groups, defined by protected attributes). Central to this discussion are impossibility results, owed to (...) Kleinberg et al. (2016), Chouldechova (2017), and Corbett-Davies et al. (2017), which show that classification parity and calibration are often incompatible. This paper aims to argue that classification parity, calibration, and a newer, interesting measure called counterfactual fairness are unsatisfactory measures of fairness, offer a general diagnosis of the failure of these measures, and sketch an alternative approach to understanding fairness in machine learning. (shrink)

Typically, fair machine learning research focuses on a single decision maker and assumes that the underlying population is stationary. However, many of the critical domains motivating this work are characterized by competitive marketplaces with many decision makers. Realistically, we might expect only a subset of them to adopt any non-compulsory fairness-conscious policy, a situation that political philosophers call partial compliance. This possibility raises important questions: how does partial compliance and the consequent strategic behavior of decision subjects affect the allocation (...) outcomes? If k% of employers were to voluntarily adopt a fairness-promoting intervention, should we expect k% progress (in aggregate) towards the benefits of universal adoption, or will the dynamics of partial compliance wash out the hoped-for benefits? How might adopting a global (versus local) perspective impact the conclusions of an auditor? In this paper, we propose a simple model of an employment market, leveraging simulation as a tool to explore the impact of both interaction effects and incentive effects on outcomes and auditing metrics. Our key findings are that at equilibrium: (1) partial compliance by k% of employers can result in far less than proportional (k%) progress towards the full compliance outcomes; (2) the gap is more severe when fair employers match global (vs local) statistics; (3) choices of local vs global statistics can paint dramatically different pictures of the performance vis-a-vis fairness desiderata of compliant versus non-compliant employers; (4) partial compliance based on local parity measures can induce extreme segregation. Finally, we discuss implications for auditors and insights concerning the design of regulatory frameworks. (shrink)

Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian (...) considerations. We explore a few fairness measures to suss out their egalitarian roots and evaluate them, both as formalizations of egalitarian ideas and as assertions of what fairness demands of predictive systems. We pay special attention to a recent and popular fairness measure, counterfactual fairness, which holds that a prediction about an individual is fair if it is the same in the actual world and any counterfactual world where the individual belongs to a different demographic group (cf. Kusner et al. (2018)). (shrink)

Health policy changes in Nepal displayed struggles against a poor political, geographical, and economic setting; Millennium Development Goal #4 demanded improved infant and child mortality, as well as adequate measles vaccine coverage by the year 2015. Research in this report presents progress and direction of child health care policy across more than a decade of time in attempts of attaining MDG #4 and general child health care advancements. Subsequent observations and suggestions were delineated and offered. Progress since (...) the 1990’s up to 2012 was analyzed by review of serial national survey and report data. Trends and variations between regions were mostly analyzed amongst various child health care determinants. Results indicated many improved factors; Nepal will likely achieve MDG regarding child under-5 mortality, but may not achieve measles vaccine coverage or infant mortality goals. Furthermore, severe regional disparities were evident within Nepal, particularly in the Mid and Far-Western regions. A call for integrated community-based primary health care (CB-PHC) for infants and children became an ultimate ideal. A comprehensive, multidisciplinary, and community based primary care delivery service would address many of the deficits identified as well as reach rural and remote areas that still suffered. Risk and data-based resource allocation promise improved utilization, but also demands more frequent and better data reporting. Coordinated, multi-sector health policy initiatives have been underway; this demonstrated a strong direction in improving child health care from urban to every village. (shrink)

We argue that the concept of practical wisdom is particularly useful for organizing, understanding, and improving human-machine interactions. We consider the relationship between philosophical analysis of wisdom and psychological research into the development of wisdom. We adopt a practical orientation that suggests a conceptual engineering approach is needed, where philosophical work involves refinement of the concept in response to contributions by engineers and behavioral scientists. The former are tasked with encoding as much wise design as possible into machines themselves, (...) as well as providing sandboxes or workspaces to help various stakeholders build practical wisdom in systems that are sufficiently realistic to aid transferring skills learned to real-world use. The latter are needed for the design of exercises and methods of evaluation within these workspaces, as well as ways of empirically assessing the transfer of wisdom from workspace to world. Systematic interaction between these three disciplines (and others) is the best approach to engineering wisdom for the machine age. (shrink)

In order to determine whether current (or future) machines have a welfare that we as agents ought to take into account in our moral deliberations, we must determine which capacities give rise to interests and whether current machines have those capacities. After developing an account of moral patiency, I argue that current machines should be treated as mere machines. That is, current machines should be treated as if they lack those capacities that would give rise to psychological interests. Therefore, they (...) are moral patients only if they have non-psychological interests. I then provide an account of what I call teleo interests that constitute the most plausible type of non-psychological interest that a being might have. I then argue that even if current machines have teleo interests, they are such that agents need not concern themselves with these interests. Therefore, for all intents and purposes, current machines are not moral patients. (shrink)

In, “The Turing Triage Test”, published in Ethics and Information Technology, I described a hypothetical scenario, modelled on the famous Turing Test for machine intelligence, which might serve as means of testing whether or not machines had achieved the moral standing of people. In this paper, I: (1) explain why the Turing Triage Test is of vital interest in the context of contemporary debates about the ethics of AI; (2) address some issues that complexify the application of this test; (...) and, (3) in doing so, defend a way of thinking about the question of the moral standing of intelligent machines, which takes the idea of “seriousness” seriously. This last objective is, in fact, my primary one and is motivated by the sense that, to date, much of the “philosophy” of AI has suffered from a profound failure to properly distinguish between things that we can say and things that we can really mean. (shrink)

The current thesis discusses how tools for analysing power are developed predominately for adults, and thus remain underdeveloped in terms of understanding injustices related to age, ethnicity/race and gender in childhoods. The overall aim of this dissertation is to inscribe a discourse of intersecting social injustices as relevant for childhoods and child welfare, and by interlinking postcolonial, feminist, and critical childhood studies. The dissertation is set empirically within the policy and practice of Swedish child welfare, here exemplified by (...) the assessment framework Barns Behov i Centrum. It aims to explore how Swedish child welfare, as a field of knowledge, modes of knowing and knowing subjects, constitutes an arena for claims and responses to intersecting social justice issues. The material consists of BBIC primers and selected samples from, a total of 283 case reports from a Swedish social service agency. The case reports address assessments of children. This dissertation is based on four qualitative studies using discourse analysis, as well as analysis inspired by thematic and case-study methodology. Two studies focus on child welfare discourses in BBIC documents involving social problems and violence, and two studies are based on child welfare case reports. Studies I­­-II address child welfare policy and practice by analysing the conditions required for children to participate, in terms of children’s moral status and in terms of status of ‘evidencing’ needs for protection. Studies III­­-IV explore this further from the perspective of intersecting and embodied social injustices in childhoods. Together, the studies interconnect child welfare as a field of knowledge, modes of knowing and knowers with child welfare as a moral arena for claims to rights, recognition, and social justice. The synthesised findings point to child biowelfare, in which justice discourses are largely absent. Biowelfare is informed by a mode of knowing and ‘evidencing’ risks to children’s health and development, which are confined to scientific predicting-believing, seeing-believing by professionals and a moral economy of care, all of which constrain the idea that injustices are structural and intersecting. Biowelfare primarily responds to children as ‘speaking’ biological bodies, rather than as voices of justice. In this sense, injustices of an epistemological nature are interconnected with social injustices. When issues of justice are mobilised in case reports and policy, they come across as rather ‘unjust’, primarily confined to the sphere of the family home of racialised children and not connected to ‘general’ children. In addition to intersections of age, ethnicity/race and gender, class and health are fundamental to recognition and protection in biowelfare. Finally, the dissertation indicates the need for a moral economy which responds to intersecting social injustices such as racial, gender-based and ageist violence in childhoods, and violations of children’s bodily integrity. (shrink)

Bangladesh is a signatory of the International Labor Organization’s two landmark conventions on child labor – No.138 on Minimum Age and No. 182 on the Worst Forms of Child Labor. The Bangladesh Labor Act, 2006 prohibits the employment of any child in child labor’s worst forms, including hazardous ones. To eliminate hazardous child labor (HCL) from the country, the government published a list of 38 activities/processes as hazardous to children. However, emerging data suggest that HCL (...) still exists widely in the country, and the COVID-19 pandemic has worsened the situation. The review of existing evidence and relevant reports evinces that the country’s current policies inadequately address the status and remedies of HCL. Based on the author’s desk review, observational experience and visual work, this paper evaluates the competence of the hazardous labor list and current legal protections for children. The findings suggest that lack of implementation, reporting and monitoring opens the floodgate for employers to informally employ children in hazardous work and take advantage of the legal lacunae. Destitute families and street children lack citizenship documents and become easy victims of exploitative employment. The analysis informs that the country’s existing legislative framework and protection policies are critically inadequate to cease HCL in urban areas. (shrink)

Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which (...) they are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

I occasionally write on topics relating to psychology since I am a trained psychoanalyst. One of the evils which plagues us is child abuse which a psychologist had correctly called soul murder in the 1990s. This article was written to sensitize parents. And also is philosophy (of evil) in praxes.

Investigates the roles of temporal concepts and self-consciousness in the development of episodic memory. According to some theorists, types of long-term memory differ primarily in the degree to which they involve or are associated with self-consciousness (although there may be no substantial differences in the kind of event information that they deliver). However, a known difficulty with this view is that it is not obvious what motivates introducing self-consciousness as the decisive factor in distinguishing between types of memory and what (...) role it is supposed to play in remembering. The authors argue that distinctions between different kinds of memory should be made initially on the basis of the ways in which they represent events. In particular, it is proposed that the way in which remembered events are located in time provides an important criterion for distinguishing between different types of memory. According to this view, if there is a link between memory development and self-consciousness, it is because some temporal concepts emerge developmentally only once certain self-conscious abilities are in place. (shrink)

Over three decades ago, in a brief but provocative essay, Paul Ziff argued for the thesis that robots cannot have feelings because they are "mechanisms, not organisms, not living creatures. There could be a broken-down robot but not a dead one. Only living creatures can literally have feelings."[i] Since machines are not living things they cannot have feelings. In the first half of my paper I review Ziff's arguments against the idea that robots could be conscious, especially his appeal to (...) our linguistic usage. In the second half of the essay I try to provide a deeper ontological understanding of why we ought not attribute minds to nonliving artifacts. I argue that inanimate mechanisms are incapable of genuinely active and purposive behavior. They are importantly different in kind from living human beings and animals. (shrink)

The existence of child labor in developing countries like Bangladesh is undoubtedly a serious problem in the era of sustainable development. Undoubtedly to abolish child labor from all level is not so easy. The current study was intended to assess the livelihoods pattern and causes of being involved as child labor in Jhenaidah city-Bangladesh and to find out the ways in which child labor can be diminished gradually. This study was exploratory in nature where convenience sampling (...) was adapted, seventy-five children aged less than 18 years were interviewed with an interview schedule. The extent and prevalence of child labour in a country are being considered as a significant indicator of how far-off that country stays away from the overall sustainable development. The results of this study demonstrate that the majority (17/22.67%) children engaged in performing work in shops or hotels. The X2 (p<0.5) results elucidate that there exists gender difference in child abuse and harassment. The rate of physical and mental abuse and torture was higher in male children, in contrast, the prevalence of sexual harassment and abuse by slung was significantly higher in female children. The working hours as an average above 7 hours or more, and per day wage of children in Jhenaidah found just above 1.4$ (120 BDT). The principal component analysis indicates that lack of parental employment facilities which has directly related to poverty found as the foremost reasons for a child to make involvement as labour before completing age 18, this result is not only applicable for Jhenaidah but also possibly applicable for all developing countries. Besides, father’s education and death of mother were the important indicators of being child laborer. The ways of eliminating child labour are not so easy task because the problem has been indissolubly embedded in our society for long. Hence, it requires moral, political will and commitment from all people in the society for ending and eradicating child labour. Alongside all these, international organizations must make sure their robust participation in enhancing this process. (shrink)

Artistic work during communist regime in Albania has been a strictly controlled area, due to censorship and ideological limitations. However, the creative genius of some individuals was able to transmit religious images in a disguised form, particularly when themes were permissive to ambiguous messages. Depicting child abuse was a taboo for the everyday life, but not when focusing on certain historical periods that were purposefully stigmatized from the state propaganda. Some snapshots and images from the movie ‘Red poppies on (...) the wall’, shot in 1976, will reveal how the director and the working team operated on Christian symbols to showcase their working philosophy. Thus, sketching the abusive environment of an orphanage within the frames of a remote Roman punishment model, did nothing more, rather than confirmed the main concern that was tormenting authors while trying to delimit the events in time. The abused child is a reality beyond time, ideology and religion, and as such artworks dealing with it have their deserved professional space. (shrink)

A common and enduring early modern intuition is that materialists reduce organisms in general and human beings in particular to automata. Wasn’t a famous book of the time entitled L’Homme-Machine? In fact, the machine is employed as an analogy, and there was a specifically materialist form of embodiment, in which the body is not reduced to an inanimate machine, but is conceived as an affective, flesh-and-blood entity. We discuss how mechanist and vitalist models of organism exist in (...) a more complementary relation than hitherto imagined, with conceptions of embodiment resulting from experimental physiology. From La Mettrie to Bernard, mechanism, body and embodiment are constantly overlapping, modifying and overdetermining one another; embodiment came to be scientifically addressed under the successive figures of vie organique and then milieu intérieur, thereby overcoming the often lamented divide between scientific image and living experience. (shrink)

The use of AI algorithms in criminal trials has been the subject of very lively ethical and legal debates recently. While there are concerns over the lack of accuracy and the harmful biases that certain algorithms display, new algorithms seem more promising and might lead to more accurate legal decisions. Algorithms seem especially relevant for bail decisions, because such decisions involve statistical data to which human reasoners struggle to give adequate weight. While getting the right legal outcome is a strong (...) desideratum of criminal trials, advocates of the relational theory of procedural justice give us good reason to think that fairness and perceived fairness of legal procedures have a value that is independent from the outcome. According to this literature, one key aspect of fairness is trustworthiness. In this paper, I argue that using certain algorithms to assist bail decisions could increase three diferent aspects of judges’ trustworthiness: (1) actual trustworthiness, (2) rich trustworthiness, and (3) perceived trustworthiness. (shrink)

Transcript of an Interview on the podcast Irreverend: Faith and Current Affairs.

In *Engaging Capital Emotions,* Douglas Berman and Stephanos Bibas argue that emotion is central to understanding and evaluating the death penalty, and that the emotional case for the death penalty for child rape may be even stronger than for adult murder. Both the Berman and Bibas article and the subsequent Supreme Court decision in Kennedy v. Louisiana (striking down the death penalty for child rape) raise difficult questions about how to measure the heinousness of crimes other than murder, (...) and about the role the pain suffered by victims and victims' families should play in this inquiry. In this Reply, I agree with the authors on the importance of confronting emotion's role in capital punishment, for reasons I discuss in Part A. However, I disagree with their claim that the moral outrage evoked by child rape supports making it a capital crime. Part B explores the difficulties of using the existence of moral outrage as a measure of appropriate punishment. Part C argues that the penal system should not merely reflect moral outrage, but channel and educate it. It suggests that the availability of the death penalty may create an anchoring effect, communicating the message that the death penalty is the proper way to express moral outrage and to honor the worth of murder victims. It explores the consequences of this message. Section II focuses on the role of emotion in deciding whether child rape should be a capital crime. Part A considers the problematic role of victim harm in determining whether the death penalty is appropriate. It explores the question, raised in Kennedy v Louisiana, of whether the effect of a capital trial on child rape victims ought to be part of the calculus. Part B argues that there are three particular problems with allowing juries to sentence child rapists to death: the deleterious effect of anger and empathy, the problem of generic prejudice, and the issue of race. (shrink)

A properly programmed artificially intelligent agent may eventually have one duty, the duty to satisfice expected welfare. We explain this claim and defend it against objections.

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)

In this paper, we investigated multiple machine learning classifiers which are, Multinomial Naive Bayes, Support Vector Machine, Decision Tree, K Nearest Neighbors, and Random Forest in a text classification problem. The data we used contains real and fake job posts. We cleaned and pre-processed our data, then we applied TF-IDF for feature extraction. After we implemented the classifiers, we trained and evaluated them. Evaluation metrics used are precision, recall, f-measure, and accuracy. For each classifier, results were summarized and (...) compared with others. (shrink)

As art produced by autonomous machines becomes increasingly common, and as such machines grow increasingly sophisticated, we risk a confusion between art produced by a person but mediated by a machine, and art produced by what might be legitimately considered a machine artist. This distinction will be examined here. In particular, my argument seeks to close a gap between, on one hand, a philosophically grounded theory of art and, on the other hand, theories concerned with behavior, intentionality, expression, (...) and creativity in natural and artificial agents. This latter set of theories in some cases addresses creative behavior in relation to visual art, music, and literature, in the frequently overlapping contexts of philosophy of mind, artificial intelligence, and cognitive science. However, research in these areas does not typically address problems in the philosophy of art as a central line of inquiry. Similarly, the philosophy of art does not typically address issues pertaining to artificial agents. (shrink)

I will review the main problems concerning commonsense reasoning in machines and I will present resent two different applications - namaly: the Dual PECCS linguistic categorization system and the TCL reasoning framework that have been developed to address, respectively, the problem of typicality effects and the one of commonsense compositionality, in a way that is integrated or compliant with different cognitive architectures thus extending their knowledge processing capabilities In doing so I will show how such aspects are better dealt with (...) at different levels of representation and will discuss how the adoption of a cognitively inspired approach be useful in the design and implementation of the next generation AI systems mastering commonsense. (shrink)

This dissertation examines the relationship that exists between two distinct and seemingly incompatible bodies of scholarship within the field of contemporary philosophy of technology. The first, as argued by postmodern pragmatist Barry Allen, posits that our tools and what we make with them are epistemically important; disputing the idea that knowledge is strictly sentential or propositional, he claims instead that knowledge is the product of a performance that is both superlative and artefactual, rendering technology importantly world-constituting. The second, as argued (...) by Heidegger and his inheritors, is that technology is ontologically problematic; rather than technology being evidence of performative knowledge, it is instead existentially threatening by virtue of the fact that it changes the tenor of our relationship with the world-as-given. Despite the fact that these claims seem prima facie incompatible, I argue that they may be successfully reconciled by introducing a third body of scholarship: the philosophy of photography. For it is the case, I argue, that although we, qua human beings, occupy lifeworlds that are necessarily constituted by technology, technology also induces a kind of phenomenological scepticism: a concern that mediated action precludes us from the possibility of authentic experience. Arguing in favour of the sentiment that photographs serve as a kind of phenomenal anchor—a kind of machine for living—I claim that photographic images provide a panacea to this existential concern: despite being epistemically problematic, it is this selfsame epistemic “specialness” of photographs that forces us to phenomenologically recommit, if only temporarily, to the world in a serious way. Consequently, it is my belief that an analysis of our artefacts and the way they function is fundamentally incomplete without an analysis of the epistemic and ontological problems introduced of the photographic image; as I will demonstrate, the photographic image casts an extremely long shadow over the philosophy of technology. (shrink)

This article assesses how autonomy and machine learning impact the existential risk of nuclear war. It situates the problem of cyber security, which proceeds by stealth, within the larger context of nuclear deterrence, which is effective when it functions with transparency and credibility. Cyber vulnerabilities poses new weaknesses to the strategic stability provided by nuclear deterrence. This article offers best practices for the use of computer and information technologies integrated into nuclear weapons systems. Focusing on nuclear command and control, (...) avoiding autonomy and machine learning is recommended as one means to reduce the existential risk of unintended nuclear conflict. (shrink)

This paper is an enquiry into the logical, metaphysical, and physical possibility of time travel understood in the sense of the existence of closed worldlines that can be traced out by physical objects. We argue that none of the purported paradoxes rule out time travel either on grounds of logic or metaphysics. More relevantly, modern spacetime theories such as general relativity seem to permit models that feature closed worldlines. We discuss, in the context of Gödel's infamous argument for the ideality (...) of time based on his eponymous spacetime, what this apparent physical possibility of time travel means. Furthermore, we review the recent literature on so-called time machines, i.e., of devices that produce closed worldlines where none would have existed otherwise. Finally, we investigate what the implications of the quantum behaviour of matter for the possibility of time travel might be and explicate in what sense time travel might be possible according to leading contenders for full quantum theories of gravity such as string theory and loop quantum gravity. (shrink)