AI Ethics and Value Alignment for Nonhuman Animals

Ziesche, Soenke

doi:10.3390/philosophies6020031

Cited by 12 publications

(8 citation statements)

References 47 publications

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“…Research on AI systems that are applied specifically to animals (Bossert & Hagendorff, 2021), as well as empirical investigations of speciesist bias in foundational language and vision models (Hagendorff et al, 2022; Takeshita et al, 2022) reveal the many disadvantages and harms that AI systems can afflict on animals. However, although a handful of papers demanding otherwise (Bendel, 2018; Owe & Baum, 2021; Singer & Tse, 2022; Ziesche, 2021), AI ethics has a purely anthropocentric tailoring where nonhumans are not part of normative considerations, despite the overlaps between concepts like fairness, well‐being, sustainability, and so forth, with issues in animal ethics.…”

Section: The Anthropocentric Tailoring Of Ai Ethics and Sustainable Aimentioning

confidence: 99%

The ethics of sustainable AI: Why animals (should) matter for a sustainable use of AI

Bossert

Hagendorff

2023

Sustainable Development

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Technologies equipped with artificial intelligence (AI) influence our everyday lives in a variety of ways. Due to their contribution to greenhouse gas emissions, their high use of energy, but also their impact on fairness issues, these technologies are increasingly discussed in the “sustainable AI” discourse. However, current “sustainable AI” approaches remain anthropocentric. In this article, we argue from the perspective of applied ethics that such anthropocentric outlook falls short. We present a sentientist approach, arguing that the normative foundation of sustainability and sustainable development—that is, theories of intra‐ and intergenerational justice—should include sentient animals. Consequently, theories of sustainable AI must also be non‐anthropocentric. Moreover, we investigate consequences of our approach for applying AI technologies in a sustainable way.

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Section: The Anthropocentric Tailoring Of Ai Ethics and Sustainable Aimentioning

confidence: 99%

The ethics of sustainable AI: Why animals (should) matter for a sustainable use of AI

Bossert

Hagendorff

2023

Sustainable Development

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“…Such practices may also serve as a competitive advantage to increase market value. However, Ziesche [47] explains that the importance of ethical requirements should align with human values and transcend financial value; as such, executives need to include these aspects in assessing ethical requirements. Hence, if the principal value of AI ethics is profit, it may indicate that the societal impact of AI ethics is far from being understood by executives.…”

Section: Pec3 -Ethical Requirements Value Can Be Enhanced As Financia...mentioning

confidence: 99%

Implementing AI Ethics: Making Sense of the Ethical Requirements

Agbese

Mohanani

Khan

et al. 2023

Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering

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Society's increasing dependence on Artificial Intelligence (AI) and AI-enabled systems require a more practical approach from software engineering (SE) executives in middle and higher-level management to improve their involvement in implementing AI ethics by making ethical requirements part of their management practices. However, research indicates that most work on implementing ethical requirements in SE management primarily focuses on technical development, with scarce findings for middle and higher-level management. We investigate this by interviewing ten Finnish SE executives in middle and higher-level management to examine how they consider and implement ethical requirements. We use ethical requirements from the European Union (EU) Trustworthy Ethics guidelines for Trustworthy AI as our reference for ethical requirements and an Agile portfolio management framework to analyze implementation. Our findings reveal a general consideration of privacy and data governance ethical requirements as legal requirements with no other consideration for ethical requirements identified. The findings also show practicable consideration of ethical requirements as technical robustness and safety for implementation as risk requirements and societal and environmental well-being for implementation as sustainability requirements. We examine a practical approach to implementing ethical requirements using the ethical risk requirements stack employing the Agile portfolio management framework. CCS CONCEPTS• Software and its engineering → Software organization and properties.

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“…The algorithms must also be able to take into account inter-individual differences between animals, while considering variation between breeds and rearing environment, too, without anthropomorphizing (Wilson et al, 2019;Schillings et al, 2021;Ziesche, 2021). Anthropomorphizing the sentience and feelings of other animals, i.e.…”

Section: Implications Of Digital Farming For the Animalsmentioning

confidence: 99%

Ethics of Digital Animal Farming

Neethirajan¹

2021

Preprint

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The demand for animal products is expected to continue to rise, which requires the development of efficient livestock farming systems. Environmental, societal and economic concerns regarding this industry are however accumulating, addressing the large resource demand, pollutants and greenhouse gas emissions and health concerns that the livestock industry is responsible for. Precision livestock farming systems allow the continuous automatic monitoring of various physiological, behavioural and phenotypic parameters of animals in order to increase productivity and animal welfare while controlling and minimizing the environmental impact. There is a high potential for digital farming to be the solution for responsibly and ethically feeding the growing and urbanizing population. However, many problems and concerns are still present in this developing industry and remain relatively unaddressed, starting with the ethical aspects in regard to the animal, including its objectification, human-animal relationships and welfare and ending with the societal implications of this digitalization. Concrete frameworks, inter-disciplinary studies and global legislation need to be put in place in order to ensure the safety and protection of the animals, farmer and society. Here, implications of digital farming for the animals, farmers, society and the planet are critically reviewed with the future outlook of digital farms.

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AI Ethics and Value Alignment for Nonhuman Animals

Cited by 12 publications

References 47 publications

The ethics of sustainable AI: Why animals (should) matter for a sustainable use of AI

The ethics of sustainable AI: Why animals (should) matter for a sustainable use of AI

Implementing AI Ethics: Making Sense of the Ethical Requirements

Ethics of Digital Animal Farming

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