ArticleScience and engineering ethics2021
Actionable Principles for Artificial Intelligence Policy: Three Pathways.
Article in Science and engineering ethics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Society-oriented AI governance: a parallel layered model and multi-actor coordination framework.Frontiers in artificial intelligence · 2026Review
- Neuroethics and AI ethics: a proposal for collaboration.BMC neuroscience · 2024Review
- Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.Science and engineering ethics · 2024Article
- Establishing and evaluating trustworthy AI: overview and research challenges.Frontiers in big data · 2024Review
- The Role of Artificial Intelligence Model Documentation in Translational Science: Scoping Review.Interactive journal of medical research · 2023Article
- Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis.BMJ open · 2023Article
- Human-centricity in AI governance: A systemic approach.Frontiers in artificial intelligence · 2023Article
- Equity in AgeTech for Ageing Well in Technology-Driven Places: The Role of Social Determinants in Designing AI-based Assistive Technologies.Science and engineering ethics · 2022Article
- AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics.Digital society : ethics, socio-legal and governance of digital technology · 2022Article
- Reflections on the human role in AI policy formulations: how do national AI strategies view people?Discover artificial intelligence · 2022Review
- From General Principles to Procedural Values: Responsible Digital Health Meets Public Health Ethics.Frontiers in digital health · 2021Article
- Translational Neuroethics: A Vision for a More Integrated, Inclusive, and Impactful Field.AJOB neuroscienceArticle
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Authors and funding
1 author.
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Abstract
In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on "AI Ethics Principles". However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of 'Actionable Principles for AI'. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements are extracted from the development process of the Ethics Guidelines for Trustworthy AI of the European Commission's "High Level Expert Group on AI". Subsequently, these elements are expanded on and evaluated in light of their ability to contribute to a prototype framework for the development of 'Actionable Principles for AI'. The paper proposes the following three propositions for the formation of such a prototype framework: (1) preliminary landscape assessments; (2) multi-stakeholder participation and cross-sectoral feedback; and, (3) mechanisms to support implementation and operationalizability.
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