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 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构成的挑战方面的有效性。通过分析专家研讨会期间设计的不同假设场景，我们发现现行法律框架在保护隐私、自主权、尊严、多样性、公平以及身心健康等基本价值观方面存在显著差距和不确定性。宪法和民权可能无法提供足够保护来应对人工智能生成的歧视性输出。此外，即便排除第230条提供的责任豁免，由于人工智能系统复杂且不透明的特性，证明诽谤和产品责任索赔中的因果关系也是一项艰巨任务。为应对生成式人工智能带来的独特且不可预测的威胁，我们倡导建立能够识别新型威胁并向行业利益相关者提供主动、可审计指南的法律框架。解决这些问题需要深入的跨学科合作，以识别危害、价值观和缓解策略。