Simon Coghlan

Ethical discussions about Artificial Intelligence (AI) often overlook its potentially large impact on nonhuman animals. In a recent commentary on our paper about AI’s possible harms, Leonie Bossert argues for a focus not just on the possible negative impacts but also the possible beneficial outcomes of AI for animals. We welcome this call to increase awareness of AI that helps animals: developing and using AI to improve animal wellbeing and promote positive dimensions in animal lives should be a vital ethical goal. Nonetheless, we argue that there is some value in focusing on technology-based harms in the context of AI ethics and policy discourses. A harms framework for AI can inform some of our strongest duties to animals and inform regulation and risk assessment impacts designed to prevent serious harms to humans, the environment, and animals.

Video game players sometimes give voice to an “intuition” that violently harming nonhuman animals in video games is particularly ethically troubling. However, the moral issue of violence against nonhuman animals in video games has received scant philosophical attention, especially compared to the ethics of violence against humans in video games. This paper argues that the seemingly counterintuitive belief that digital animal violence is in general more ethically problematic than digital human violence is likely to be correct. Much video game violence against animals has at least some potential, even if only a modest one, to contribute to moral indifference toward animals and to their routine mistreatment. These possible effects have ethical implications for animals, society, players, and video game designers.

Morally unequal treatment of different nonhuman species, like pigs and dogs, can seem troublingly inconsistent. A position Todd May calls moral individualism and relationalism appears to justify the moral discomfit attending such species-differentiated treatment. Yet some of its basic assumptions are challenged by a philosophical style Roger Scruton called narrative philosophy. Expanding upon Christopher Cordner’s discussion of narrative philosophy, this paper develops a narrative-style philosophical critique of Todd May’s moral individualism and relationalism, especially its reductionist understanding of moral reasons, consistency, and relevance. Such criticism opens up the possibility that the unequal treatment of nonhuman species like pigs and dogs is perfectly consistent and even justified. However, the paper then presents a narrative-style argument that such species-differentiated treatment may be morally inconsistent and unjustified after all.

This paper examines how digital technologies might be used to improve ethical attitudes towards nonhuman animals, by exploring the case study of nonhuman apes kept in modern zoos. The paper describes and employs a socio-ethical framework for undermining anti-ape prejudice advanced by philosopher Edouard Machery which draws on classic anti-racism strategies from the social sciences. We also discuss how digital technologies might be designed and deployed to enable and enhance rather than impede the three anti-prejudice strategies of contact and interaction, enlightenment, and individualization. In doing so, the paper illuminates the broad potential and limitations of digital technology to both harm and benefit animals via its effects on human ethical attitudes. This examination provides guidance for future projects and empirical work on using digital technologies to promote moral respect for a range of nonhuman animals in different settings.

This paper provides the first comprehensive analysis of ethical issues raised by artificial intelligence (AI) in veterinary medicine for companion animals. Veterinary medicine is a socially valued service, which, like human medicine, will likely be significantly affected by AI. Veterinary AI raises some unique ethical issues because of the nature of the client–patient–practitioner relationship, society’s relatively minimal valuation and protection of nonhuman animals and differences in opinion about responsibilities to animal patients and human clients. The paper examines how these distinctive features influence the ethics of AI systems that might benefit clients, veterinarians and animal patients—but also harm them. It offers practical ethical guidance that should interest ethicists, veterinarians, clinic owners, veterinary bodies and regulators, clients, technology developers and AI researchers.

This paper argues that ethical reflection and dialogue can assist in understanding what animal welfare is. Questions about animal welfare’s nature are thorny and contested. Responding to an essay by Donald Bruckner, the paper acknowledges that animal welfare is a type of normative value distinct from ethical value and that the methodology for determining prudential value is not simply reducible to ethical thought. However, it contends that connections between ethics and understanding wellbeing are closer than we might expect. The paper argues that: the broad conception of welfare we seek must answer to ethics; ethical responses can sometimes expose existing hidden or denied beliefs about prudential value/wellbeing; some judgements about wellbeing’s nature are internal to and thereby newly revealed in ethical judgements; understanding prudential value often requires sensitivity and responsiveness somewhat like that required in good ethical thinking. In these ways, and perhaps contrary to our assumptions, ethics can help us conceptualise animal welfare.

This paper provides a systematic account of how artificial intelligence (AI) technologies could harm nonhuman animals and explains why animal harms, often neglected in AI ethics, should be better recognised. After giving reasons for caring about animals and outlining the nature of animal harm, interests, and wellbeing, the paper develops a comprehensive ‘harms framework’ which draws on scientist David Fraser’s influential mapping of human activities that impact on sentient animals. The harms framework is fleshed out with examples inspired by both scholarly literature and media reports. This systematic account and framework should help inform ethical analyses of AI’s impact on animals and serve as a comprehensive and clear basis for the development and regulation of AI technologies to prevent and mitigate harm to nonhumans.

Doctors routinely refuse donation offers from prospective living kidney donors with certain comorbidities such as diabetes or obesity out of concern for donor wellbeing. This refusal occurs despite the ongoing shortage of kidney transplants and the superior performance of living donor kidney transplants compared to those from deceased donors. In this paper, we argue that this paternalistic refusal by doctors is unjustified and that, within limits, there should be greater acceptance of such donations. We begin by describing possible weak and strong paternalistic justifications of current conservative donor acceptance guidelines and practices. We then justify our position by outlining the frequently under-recognised benefits and the routinely overestimated harms of such donation, before discussing the need to respect the autonomy of willing donors with certain comorbidities. Finally, we respond to a number of possible objections to our proposal for more liberal kidney donor acceptance criteria. We use the situation in Australia as our case study, but our argument is applicable to comparable situations around the world.

Many attacks against the anthropocentric prejudice that nonhuman animals have a slight or impoverished ethical subjecthood are also attacks on the humanistic idea of human moral uniqueness. This essay examines a way of overturning that anthropocentric prejudice by deploying certain conceptual resources of an expansive ethical humanism. Although this may appear to be a strange route to that destination, the suggestion is raised that this approach might significantly enrich our conception of nonhumans as ethical subjects.

This essay examines the fundamental role of veterinarians in companion animal practice by developing the idea of veterinarians as strong advocates for their nonhuman animal patients. While the practitioner-patient relationship has been explored extensively in medical ethics, the relation between practitioner and animal patient has received relatively less attention in the expanding but still young field of veterinary ethics. Over recent decades, social and professional ethical perspectives on human-animal relationships have undergone major change. Today, the essential role of veterinarians is not entirely clear. Furthermore, veterinarians routinely face pressure, often insidious, to refrain from pursuing their patients’ vital interests. In exploring the concept of strong patient advocacy, this essay investigates the increasingly common suggestion that veterinarians have ‘primary obligation’ and ‘first allegiance’ to their animal patients rather than to other parties, such as their clients or employers. The related concept of a fiduciary duty, which is sometimes encountered in medical ethics, is similarly explored as it applies to companion animal practice. The resultant idea of a strong patient advocate places companion animal veterinarians conceptually and ethically close to human health professionals, not least pediatricians.

Some claim that digital phenotyping will revolutionize understanding of human psychology and experience and significantly promote human wellbeing. This paper investigates the nature of digital phenotyping in relation to its alleged promise. Unlike most of the literature to date on philosophy and digital phenotyping, which has focused on its ethical aspects, this paper focuses on its epistemic and methodological aspects. The paper advances a tetra-taxonomy involving four scenario types in which knowledge may be acquired from human “digitypes” by digital phenotyping. These scenarios comprise two causal relations and a correlative and constitutive relation that can exist between information generated by digital systems/devices on the one hand and psychological or behavioral phenomena on the other. The paper describes several modes of inference involved in deriving knowledge within these scenarios. After this epistemic mapping, the paper analyzes the possible knowledge potential and limitations of digital phenotyping. It finds that digital phenotyping holds promise of delivering insight into conditions and states as well producing potentially new psychological categories. It also argues that care must be taken that digital phenotyping does not make unwarranted conclusions and is aware of potentially distorting effects in digital sensing and measurement. If digital phenotyping is to truly revolutionize knowledge of human life, it must deliver on a range of fronts, including making accurate forecasts and diagnoses of states and behaviors, providing causal explanations of these phenomena, and revealing important constituents of human conditions, psychology, and experience.

Online exam supervision technologies have recently generated significant controversy and concern. Their use is now booming due to growing demand for online courses and for off-campus assessment options amid COVID-19 lockdowns. Online proctoring technologies purport to effectively oversee students sitting online exams by using artificial intelligence systems supplemented by human invigilators. Such technologies have alarmed some students who see them as a “Big Brother-like” threat to liberty and privacy, and as potentially unfair and discriminatory. However, some universities and educators defend their judicious use. Critical ethical appraisal of online proctoring technologies is overdue. This essay provides one of the first sustained moral philosophical analyses of these technologies, focusing on ethical notions of academic integrity, fairness, non-maleficence, transparency, privacy, autonomy, liberty, and trust. Most of these concepts are prominent in the new field of AI ethics, and all are relevant to education. The essay discusses these ethical issues. It also offers suggestions for educational institutions and educators interested in the technologies about the kinds of inquiries they need to make and the governance and review processes they might need to adopt to justify and remain accountable for using online proctoring technologies. The rapid and contentious rise of proctoring software provides a fruitful ethical case study of how AI is infiltrating all areas of life. The social impacts and moral consequences of this digital technology warrant ongoing scrutiny and study.

In 1971, Herbert Spiegelberg challenged philosophers to refine and deepen the vivid idea of human dignity to prevent its degeneration. Although philosophers, including Michael Rosen and Jeremy Waldron, have responded with valuable insights, the full moral depth of dignity has remained philosophically elusive. Furthermore, many philosophers still think human dignity a limited ethical concept. By integrating important alienable and inalienable dimensions of human dignity, this essay attempts to do justice to our vivid contemporary experience of dignity's moral depth. It seeks to illuminate the profound, universal worth of all humans, and the ethical force of human rights protections.