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Safe Transformative AI via a Windfall Clause

arXiv 2108.09404 ↗First posted 20 Aug 2021cs.CY cs.AIcited by 0

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Abstract (arXiv)

Society could soon see transformative artificial intelligence (TAI). Models of competition for TAI show firms face strong competitive pressure to deploy TAI systems before they are safe. This paper explores a proposed solution to this problem, a Windfall Clause, where developers commit to donating a significant portion of any eventual extremely large profits to good causes. However, a key challenge for a Windfall Clause is that firms must have reason to join one. Firms must also believe these commitments are credible. We extend a model of TAI competition with a Windfall Clause to show how firms and policymakers can design a Windfall Clause which overcomes these challenges. Encouragingly, firms benefit from joining a Windfall Clause under a wide range of scenarios. We also find that firms join the Windfall Clause more often when the competition is more dangerous. Even when firms learn each other's capabilities, firms rarely wish to withdraw their support for the Windfall Clause. These three findings strengthen the case for using a Windfall Clause to promote the safe development of TAI.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 38 references that are in the map. First posted on arXiv 20 Aug 2021.

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10 of 38 references.

References · 10

  1. 2016Concrete Problems in AI Safetycited by 1,582
  2. 2020Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claimscited by 163
  3. 2019The role of artificial intelligence in achieving the Sustainable Development Goalscited by 100
  4. 2019The Role of Cooperation in Responsible AI Developmentcited by 21
  5. 2019The Transformative Potential of Artificial Intelligencecited by 15
  6. 2019The Windfall Clause: Distributing the Benefits of AI for the Common Goodcited by 13
  7. 2019Regulatory Markets for AI Safetycited by 13
  8. 2020Mediating Artificial Intelligence Developments through Negative and Positive Incentivescited by 9
  9. 2020The Tragedy of the AI Commonscited by 7
  10. 2019Norms for Beneficial A.I.: A Computational Analysis of the Societal Value Alignment Problemcited by 2

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