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 autonomy, privacy, dignity, diversity, equality, 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 threat and provide proactive, auditable guidelines to industry stakeholders. Addressing these issues requires deep interdisciplinary collaborations to identify harms, values, and mitigation strategies.

翻译：我们的跨学科研究探讨了美国法律在应对生成式人工智能对人类价值观带来的挑战方面是否有效。通过对专家研讨会上构思的多样化假设情境进行分析，我们发现了现有法律框架在保护自主性、隐私、尊严、多样性、平等以及身心健康等基本价值观方面存在显著空白和不确定性。宪法和公民权利似乎无法充分保护人们免受人工智能生成歧视性输出的影响。此外，即便排除第230条规定的责任豁免，由于人工智能系统复杂且不透明的特性，在诽谤和产品责任诉讼中证明因果关系也是一项艰巨的任务。为应对生成式人工智能所特有的且不可预见的威胁，我们主张法律框架应不断发展，以识别新型威胁，并为行业相关方提供主动且可供审计的指导方针。解决这些问题需要深度的跨学科合作，以识别危害、价值观和缓解策略。