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. (shrink)

Robotic or automatic milking systems are novel technologies that take over the labor of dairy farming and reduce the need for human–animal interactions. Because robotic milking involves the replacement of ‘conventional’ twice-a-day milking managed by people with a system that supposedly allows cows the freedom to be milked automatically whenever they choose, some claim robotic milking has health and welfare benefits for cows, increases productivity, and has lifestyle advantages for dairy farmers. This paper examines how established ethical relations on dairy (...) farms are unsettled by the intervention of a radically different technology such as AMS. The renegotiation of ethical relationships is thus an important dimension of how the actors involved are re-assembled around a new technology. The paper draws on in-depth research on UK dairy farms comparing those using conventional milking technologies with those using AMS. We explore the situated ethical relations that are negotiated in practice, focusing on the contingent and complex nature of human–animal–technology interactions. We show that ethical relations are situated and emergent, and that as the identities, roles, and subjectivities of humans and animals are unsettled through the intervention of a new technology, the ethical relations also shift. (shrink)

Human-wildlife interactions frequently lead to conflicts – about the fair use of natural resources, for example. Various principled accounts have been proposed to resolve such interspecies conflicts. However, the existing frameworks are often inadequate to the complexities of real-life scenarios. In particular, they frequently fail because they do not adequately take account of the qualitative importance of individual interests, their relative importance, and the number of individuals affected. This article presents a limited aggregation account designed to overcome these shortcomings and (...) thus to facilitate decision-making in real-world human-wildlife conflicts. (shrink)

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)

AI technologies affect not only humans in many ways but also sentient animals. When investigating the impact of AI on other animals, it is important to consider how these technologies can harm them. However, it is equally important to explore how they can be used to enable animals to live good lives and improve their wellbeing. In this article, I present the rationale for this claim (Section 1), highlight applications through which AI systems are or can be used to benefit (...) nonhuman animals, and show how these benefits can be classified in terms of the harm framework proposed by Coghlan and Parker (Philosophy & Technology 36:25, 2023; Section 2). Finally, I identify open research questions that need to be addressed next (Section 3). (shrink)