Deciding how to respond: A deliberative framework to guide policymaker responses to AI systems
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Abstract (arXiv)
The discourse on responsible artificial intelligence (AI) regulation is understandably dominated by risk-focused assessments and analyses. This approach reflects the fundamental uncertainty policymakers face when determining appropriate responses to current, emerging and novel AI systems. In this article, we argue that by operationalising the concept of freedom - the philosophical counterpart to responsibility - a complementary approach centred on the potential societal benefits of AI systems can be developed. The result is a discursive framework grounded in freedom as capability and freedom as opportunity, which represent the two main intellectual traditions of interpreting freedom. We contend that the complexity, ambiguity and contestation involved in regulating AI systems make a deliberative paradigm more useful than the conventional technical one. The resulting framework is structured around coordinative, communicative and decision spaces, each with sequential focal points and associated outputs.
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References · 8
- 2023Sociotechnical Safety Evaluation of Generative AI Systemscited by 157
- 2019The role of artificial intelligence in achieving the Sustainable Development Goalscited by 100
- 2023Frontier AI Regulation: Managing Emerging Risks to Public Safetycited by 98
- 2023How Knowledge Workers Think Generative AI Will (Not) Transform Their Industriescited by 30
- 2020Principles to Practices for Responsible AI: Closing the Gapcited by 25
- 2024Responsible Artificial Intelligence: A Structured Literature Reviewcited by 6
- 2024Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the UScited by 5
- 2023Responsible AI Governance: A Systematic Literature Reviewcited by 4
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