美国安全与新兴技术中心2024有效治理人工智能的原则研究报告英文版15页

Policy BriefJuly 2024Enabling Principles for AI GovernanceAuthors Owen J. Daniels Dewey Murdick Center for Security and Emerging Technology | 1 Introduction The question of how to govern artificial intelligence (AI) is rightfully top of mind for U.S. lawmakers and policymakers alike. Strides in the development of high-powered large language models (LLMs) like ChatGPT/GPT-4o, Claude, Gemini, and Microsoft Copilot have demonstrated the potentially transformative impact that AI could have on society, replete with opportunities and risks. At the same time, international partners in Europe and competitors like China are taking their own steps toward AI governance.1 In the United States and abroad, public analyses and speculation about AI’s potential impact generally lie along a spectrum ranging from utopian at one end—AI as enormously beneficial for society—to dystopian on the other—an existential risk that could lead to the end of humanity—and many nuanced positions in between. LLMs grab