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  1. Mapping the Ethics of Generative AI: A Comprehensive Scoping Review.Thilo Hagendorff - 2024 - Minds and Machines 34 (4):1-27.
    The advent of generative artificial intelligence and the widespread adoption of it in society engendered intensive debates about its ethical implications and risks. These risks often differ from those associated with traditional discriminative machine learning. To synthesize the recent discourse and map its normative concepts, we conducted a scoping review on the ethics of generative artificial intelligence, including especially large language models and text-to-image models. Our analysis provides a taxonomy of 378 normative issues in 19 topic areas and ranks them (...)
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  • Benefitting Nonhuman Animals with AI: Why Going Beyond “Do No Harm” Is Important.Leonie N. Bossert - 2023 - Philosophy and Technology 36 (3):1-6.
    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 (...)
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  • Helping and not Harming Animals with AI.Simon Coghlan & Christine Parker - 2024 - Philosophy and Technology 37 (1):1-7.
    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 (...)
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  • Harm to Nonhuman Animals from AI: a Systematic Account and Framework.Simon Coghlan & Christine Parker - 2023 - Philosophy and Technology 36 (2):1-34.
    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 (...)
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  • Ethics of using artificial intelligence (AI) in veterinary medicine.Simon Coghlan & Thomas Quinn - 2023 - AI and Society (5):2337-2348.
    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 (...)
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