A Unified Framework of Five Principles for AI in Society
Abstract
Artificial intelligence (AI) is already having a major impact on society. In this chapter, the authors report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. They assess whether these principles are convergent, with a set of agreed-upon principles, or divergent, with significant disagreement over what constitutes ‘ethical AI’. The authors then identify an overarching framework consisting of five core principles for ethical AI. In the ensuing discussion, they note the limitations and assess the implications of this ethical framework for future efforts to create laws, rules, standards, and best practices for ethical AI in a wide range of contexts. The development and use of AI hold the potential for both positive and negative impact on society, to alleviate or to amplify existing inequalities, to cure old problems, or to cause new ones.
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Unlike Eurocentric models of AI ethics that focus on abstract values such as fairness or beneficence, an ABS approach recenters Indigenous sovereignty as the foundation for legitimate data use and governance.
“Unlike Eurocentric models of AI ethics that focus on abstract values such as fairness or beneficence (Floridi and Cowls 2022), an ABS approach recenters Indigenous sovereignty as the foundation for legitimate data use and governance.”
From Preventing AI extractivism: the case for braiding indigenous data justice with ABS for stronger AI data governance (2026) · cites this paper as Floridi and Cowls 2022
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- Authors
- Floridi, L., & Cowls, J.
- Venue
- Machine Learning and the City
- Publisher
- Wiley
- Published
- 2022-05-21
- Pages
- 535-545
- OpenAlex
- W4281615125
- Cited by
- 380
- References
- 6
- Citations by year
- 2026: 157 · 2025: 144 · 2024: 59 · 2023: 16 · 2022: 4
- Type
- other
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Sociology and Political Science › Innovation, Sustainability, Human-Machine Systems
- Keywords
- ethical AI, AI ethics principles, societal impact of AI, AI regulation
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