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Regulating Artificial Intelligence

Author

Listed:
  • Guerreiro, João
  • Rebelo, Sérgio
  • Teles, Pedro

Abstract

We consider an environment in which there is substantial uncertainty about the potential adverse external effects of AI algorithms. We find that subjecting algorithm implementation to regulatory approval or mandating testing is insufficient to implement the social optimum. When testing costs are low, a combination of mandatory testing for external effects and making developers liable for the adverse external effects of their algorithms comes close to implementing the social optimum even when developers have limited liability.

Suggested Citation

  • Guerreiro, João & Rebelo, Sérgio & Teles, Pedro, 2023. "Regulating Artificial Intelligence," CEPR Discussion Papers 18625, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:18625
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    JEL classification:

    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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