Challenges in assessing the impacts of regulation

2025

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This paper explores the complex challenges of assessing the impacts of Artificial Intelligence regulation, offering a framework for effective policy development.

* Examines the unique risks and concerns surrounding AI, including market concentration, bias, privacy, disinformation, and existential threats.
* Proposes a set of seven key regulatory principles for AI, emphasizing consistency, transparency, accountability, targeting, adaptiveness, proportionality, and fairness.
* Discusses various policy assessment approaches, such as cost-benefit analysis, breakeven analysis, the precautionary principle, and real options, to navigate the uncertainties of AI regulation.

Tags: AI regulation, impact assessment, policy framework, risk assessment, precautionary principle

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