mlsanityData to 7 Oct 2026

Is the U.S. Legal System Ready for AI's Challenges to Human Values?

arXiv 2308.15906 ↗First posted 30 Aug 2023cs.CY cs.AI cs.CLcited by 2

Not on the map. Why?

Abstract (arXiv)

Our interdisciplinary study investigates how effectively U.S. laws confront the challenges posed by Generative AI to human values. Through an analysis of diverse hypothetical scenarios crafted during an expert workshop, we have identified notable gaps and uncertainties within the existing legal framework regarding the protection of fundamental values, such as privacy, autonomy, dignity, diversity, equity, and physical/mental well-being. Constitutional and civil rights, it appears, may not provide sufficient protection against AI-generated discriminatory outputs. Furthermore, even if we exclude the liability shield provided by Section 230, proving causation for defamation and product liability claims is a challenging endeavor due to the intricate and opaque nature of AI systems. To address the unique and unforeseeable threats posed by Generative AI, we advocate for legal frameworks that evolve to recognize new threats and provide proactive, auditable guidelines to industry stakeholders. Addressing these issues requires deep interdisciplinary collaborations to identify harms, values, and mitigation strategies.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 30 of its 174 references that are in the map. First posted on arXiv 30 Aug 2023.

Builds on

30 of 174 references.

References · 30

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18 more
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Cited by year

Citing papers per year: 2024: 2.

2 papers.

  1. 2024Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefitscited by 9
  2. 2024Exploring the Nexus of Large Language Models and Legal Systems: A Short Surveycited by 6