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Updated: May 14, 2025

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Safeguarding human values: rethinking US law for generative AI's societal impacts.

Inyoung Cheong1, Aylin Caliskan2, Tadayoshi Kohno3

  • 1School of Law, Tech Policy Lab, University of Washington, Seattle, WA USA.

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Summary

US law struggles to protect human values from generative AI. A new "Responsible AI Legal Framework" is proposed to address AI-driven harms like discrimination and privacy breaches, ensuring safety and accountability.

Keywords:
AI alignmentArtificial intelligenceFree speechGenerative AILarge language modelsLiabilityPrivacyRegulationValue alignment

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Area of Science:

  • Interdisciplinary study focusing on law and artificial intelligence (AI).
  • Examination of generative AI's impact on fundamental human values.

Background:

  • Existing US legal frameworks face challenges in addressing generative AI.
  • Generative AI poses risks to well-being, privacy, autonomy, diversity, and equity.

Purpose of the Study:

  • To evaluate the effectiveness of current US law against generative AI.
  • To identify shortcomings in legal protections for human values.
  • To propose a novel legal framework for responsible AI development and deployment.

Main Methods:

  • Analysis of hypothetical scenarios developed with expert collaboration.
  • Review of constitutional law, civil rights law, and existing liability laws.
  • Assessment of legal challenges in attributing harm from complex AI systems.

Main Results:

  • Significant shortcomings and ambiguities identified in current legal protections.
  • Difficulty in holding AI companies accountable for discriminatory AI outputs.
  • Challenges in establishing causal links for AI-related liability claims (e.g., defamation, product liability).

Conclusions:

  • Existing laws are insufficient to address unique and evolving risks of generative AI.
  • A proactive "Responsible AI Legal Framework" is necessary.
  • The proposed framework aims to mitigate harms and create a navigable legal landscape for AI's future.