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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.
AI and Ethics
|May 12, 2025
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.
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.
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