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When AI does science, who is accountable for mistakes?

Nature AI Accountability Chiranjib Chakraborty 2026-09-01

TL;DR - This Nature item raises the question of who should be held accountable when AI systems used in scientific research make mistakes. Only the title and publication metadata are provided, so its specific arguments and recommendations cannot be determined.

  • Focuses on responsibility for errors arising from AI-assisted science.
  • Implies challenges in assigning accountability among researchers, institutions, developers, and AI systems.
  • Highlights a governance concern as AI takes a larger role in scientific workflows.

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