Harvard University

Berkman Klein Center for Internet & Society

United States · PhD/Postdoc/Fellowship

The Berkman Klein Center is Harvard University's core interdisciplinary center for the study of digital technology and society, with a long-standing accumulation of work in AI ethics, algorithmic fairness, and technology governance. The center brings together researchers from law, philosophy, computer science, and other disciplines, providing ethical frameworks and institutional design perspectives for AI alignment. It is a benchmark institution for AI ethics research worldwide.

学术历史

The Berkman Klein Center was founded in 1998 by Charles Nesson and Jonathan Zittrain, initially focusing on internet law and governance. From the 2010s onward, the center expanded its research focus to AI ethics and algorithmic governance, becoming Harvard's core platform for AI ethics research. The center led the Harvard AI Initiative and participated in the MIT-Harvard AI Ethics collaboration. Jonathan Zittrain's 'The Future of the Internet' series laid the groundwork for understanding the technology-law intersection of AI governance. The center maintains a long-standing partnership with the Harvard Edmond J. Safra Center for Ethics.

当前状态

The Berkman Klein Center currently operates multiple AI ethics-related projects: algorithmic accountability and auditing, AI bias detection, AI governance policy research, and AI and free expression. The center runs an annual Fellowship program that attracts researchers from around the world. It offers cross-disciplinary courses bridging Harvard Law School and the Department of Computer Science. The center regularly publishes AI ethics research reports and participates in AI ethics policy development at international organizations including OECD and UNESCO.

实验室 / 研究中心

关键人物

标志性成果

• Latanya Sweeney discovered racial discrimination algorithmic bias in Google advertising, pioneering the field of algorithmic auditing
• Established an interdisciplinary research paradigm for AI ethics, integrating perspectives from law, philosophy, and computer science
• Participated in the development of the OECD AI Principles and the UNESCO Recommendation on AI Ethics, influencing global AI governance frameworks
• Research framework for algorithmic accountability: institutional design from technical auditing to legal regulation

学术资源

证据