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. (shrink)

The environmental crisis challenges the adequacy of traditional moral theories, particularly in the case of act consequentialism – the view that an act is morally right if and only if it brings about the best available outcome. Although anthropogenic climate change threatens the well-being of billions of humans and trillions of non-human animals, it is difficult for an act consequentialist to condemn actions that contribute to it, as each individual action makes no difference to the probability of whether climate change (...) will occur. Or so one argument goes. This chapter examines the limits and possibilities of a consequentialist approach to climate ethics. It discusses various types of consequentialist theories applicable to the current environmental situation. It outlines outcome-based strategies to address the no-difference problem and to promote individual climate action. Finally, it considers environmental cases of evaluative uncertainty and how a consequentialist could deal with them. (shrink)

Three new books by Martha Nussbaum, Jeff Sebo, and Mark Rowlands seek to raise the profile of non-human animals within political theory. They present a series of compelling arguments for making animal flourishing central to discussions about the future, especially in a time of ecological crisis. All three offer important insights into what a genuinely non-anthropocentric political theory could look like. But while they converge in some ways – for instance, all recommend serious restrictions on the human industries that brutalise (...) other animals – they also paint quite different visions of the proper relationship between humans and other animals. This review essay assesses their distinctive visions of the future of human-animal relations. (shrink)

In this paper I describe two distinctions about what “eating animals” entails which are often confused in conversations or arguments aimed against meat-based diets and try to show how both distinctions, on their own lights, ultimately support a concern for all fellow creatures, regardless of species or other biological categories. The distinctions in question are: the distinction between moral and nonmoral actions, presumptions about which serve to define whether or not particular topics (like meat consumption) deserve moral consideration whatsoever, and (...) the distinction between moral and immoral actions, about which suppositions bear on both reflexive and considered moral judgments to inform agents in making meaningful normative decisions. (shrink)

In the future, when we compare the welfare of a being of one substrate (say, a human) with the welfare of another (say, an artificial intelligence system), we will be making an intersubstrate welfare comparison. In this paper, we argue that intersubstrate welfare comparisons are important, difficult, and potentially tractable. The world might soon contain a vast number of sentient or otherwise significant beings of different substrates, and moral agents will need to be able to compare their welfare levels. However, (...) this work will be difficult, because we lack the same kinds of commonalities across substrates that we have within them. Fortunately, we might be able to make at least some intersubstrate welfare comparisons responsibly in spite of these issues. We make the case for cautious optimism and call for more research. (shrink)

This paper considers questions that small animals and AI systems raise for utilitarianism. Specifically, if these beings have more welfare than humans and other large animals, then utilitarianism implies that we should prioritize them, all else equal. This could lead to a ‘rebugnant conclusion’, according to which we should, say, create large populations of small animals rather than small populations of large animals. It could also lead to a ‘Pascal’s bugging’, according to which we should, say, prioritize large populations of (...) small animals even if they have a low chance of being sentient. I suggest that utilitarians should accept these implications in theory but might be able to avoid some of them in practice. (shrink)

The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon between (...) health and sustainability caused by AI, it should aim for a lasting marriage. To this end, we conclude by proposing that, in the upcoming years, it could be valuable and necessary to promote more interconnected health, call for environmental cost transparency, and increase green responsibility. (shrink)

Should we accept that different moral norms govern our treatment of human and nonhuman animals? In this paper I suggest that the answer is both yes and no. At the theoretical level of morality, a single, unified set of norms governs our treatment of all sentient beings. But at the practical level of morality, different sets of norms can govern our treatment of different groups in different contexts. And whether we accept that we should, say, respect rights or maximize utility (...) at the theoretical level, we might also accept that we should apply a relatively Kantian set of norms to our treatment of humans and a relatively utilitarian set of norms to our treatment of nonhumans in practice, with many caveats. I argue that this moderate “monist in theory, hybrid in practice” view has many advantages over fully monist or hybrid alternatives. (shrink)

What we could call ‘relational non-interventionism’ holds that we have no general obligation to alleviate animal suffering, and that we do not typically have special obligations to alleviate wild animals’ suffering. Therefore, we do not generally have a duty to intervene in nature to alleviate wild animal suffering. However, there are a range of relationships that we may have with wild animals that do generate special obligations to aid – and the consequences of these obligations can be surprising. In this (...) paper, I argue that we have special obligations to those animals we have historically welcomed or encouraged into our spaces. This includes many wild animals. One of the consequences of this is that we may sometimes possess obligations to actively prevent rewilding – or even to dewild – for the sake of welcomed animals who thrive in human-controlled spaces. (shrink)

This paper is the introduction to a collection I guest-edited called Positive Duties to Wild Animals. The collection contains single-authored contributions from Catia Faria, Josh Milburn, Eze Paez, and Jeff Sebo; and co-authored contributions from Mara-Daria Cojocaru and Alasdair Cochrane, and Oscar Horta and Dayrón Terán. It was published as a special issue of Ethics, Policy and Environment.

This paper presents some of the most promising ways wild animals are currently being helped, as well as other ways of helping that may be implemented easily in the near future. They include measures to save animals affected by harmful weather events, wild animal vaccination programs, and projects aimed at reducing suffering among synanthropic animals. The paper then presents other ways of helping wild animals that, while noncontroversial, may reduce aggregate suffering at the ecosystem level. The paper argues that impracticability (...) and normative objections against reducing wild animal suffering fail against these ways of helping wild animals. (shrink)

Dignity is traditionally thought to apply to almost all and almost only humans. However, I argue that an account of a distinctly human dignity cannot achieve a coherent and non-arbitrary justification; either it must exclude some humans or include some nonhumans. This conclusion is not as worrying as might be first thought. Rather than attempting to vindicate human dignity, dignity should extend beyond the human, to include a range of nonhuman animals. Not only can we develop a widely inclusive account (...) of dignity by pursuing this route, but we can still defend the three core principles that lie at the heart of contemporary thinking about dignity: that bearers of dignity possess dignity to an equal degree, in virtue of possessing the same intrinsic worth, and that this generates direct and claimable rights. I thus develop an account of dignity that includes nonhuman animals. I argue that the capacity to value most plausibly grounds dignity. This capacity arises from valenced sentience: a being values insofar as they have experiences that matter to them. I then characterise what follows from this. First, I contend that it is only the capacity to value grounds dignity because this produces the most plausible, simplest, and most explanatorily powerful account of dignity. We ought to reject pluralist accounts which assert a sharp distinction between bearers and non-bearers of rational agency, and biocentric accounts which include non-sentient organic entities. Second, I argue this property grounds an account of dignity that is non-hierarchical. There are no degrees of dignity. Instead, all possessors of the capacity to value have the same kind of intrinsic value, and the same equal fundamental right: to consideration of their interest in leading a life of value. Finally, I argue that since the fundamental right is to consideration, moral agents have claimable duties to engage in a deliberative procedure with actionable requirements. Specific rights are instantiations of this general procedure. Certain revisionist conclusions follow on my view, for instance, that nonhumans should be given greater weight and inclusion in a far wider range of cases, but my account is sensitive to the range of different things different beings value, so it does not generate counterintuitive implications. I conclude that dignity extends beyond the human. (shrink)

The topic of this dissertation is the nature of linguistic competence, the capacity to understand and produce sentences of natural language. I defend the empiricist account of linguistic competence embedded in the connectionist cognitive science. This strand of cognitive science has been opposed to the traditional symbolic cognitive science, coupled with transformational-generative grammar, which was committed to nativism due to the view that human cognition, including language capacity, should be construed in terms of symbolic representations and hardwired rules. Similarly, linguistic (...) competence in this framework was regarded as being innate, rule-governed, domain-specific, and fundamentally different from performance, i.e., idiosyncrasies and factors governing linguistic behavior. I analyze state-of-the-art connectionist, deep learning models of natural language processing, most notably large language models, to see what they can tell us about linguistic competence. Deep learning is a statistical technique for the classification of patterns through which artificial intelligence researchers train artificial neural networks containing multiple layers that crunch a gargantuan amount of textual and/or visual data. I argue that these models suggest that linguistic competence should be construed as stochastic, pattern-based, and stemming from domain-general mechanisms. Moreover, I distinguish syntactic from semantic competence, and I show for each the ramifications of the endorsement of a connectionist research program as opposed to the traditional symbolic cognitive science and transformational-generative grammar. I provide a unifying front, consisting of usage-based theories, a construction grammar approach, and an embodied approach to cognition to show that the more multimodal and diverse models are in terms of architectural features and training data, the stronger the case is for the connectionist linguistic competence. I also propose to discard the competence vs. performance distinction as theoretically inferior so that a novel and integrative account of linguistic competence originating in connectionism and empiricism that I propose and defend in the dissertation could be put forward in scientific and philosophical literature. (shrink)