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斯坦福大学:2024反思人工智能时代的隐私问题——针对“以数据为中心”世界的政策建议白皮书(中译版)(53页).pdf

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1、Rethinking Privacy in the AI EraPolicy Provocations for a Data-Centric World White PaperFebruary 2024Jennifer KingCaroline MeinhardtWhite PaperRethinking Privacy in the AI Era2Authors Jennifer King is the Privacy and Data Policy Fellow at the Stanford University Institute for Human-Centered Artifici

2、al Intelligence(HAI).An internationally recognized expert in information privacy,her research examines the publics understanding and expectations of online privacy as well as the policy implications of emerging technologies,including artificial intelligence.Her recent research explores alternatives

3、to notice and consent(with the World Economic Forum),the impact of Californias new privacy laws,and manipulative design(dark patterns).She also co-directs the Dark Patterns Tip Line repository at Stanford.Prior to joining HAI,she was the Director of Consumer Privacy at the Center for Internet and So

4、ciety at Stanford Law School from 2018 to 2020.Dr.King completed her doctorate in information management and systems(information science)at the University of California,Berkeley School of Information.Caroline Meinhardt is the policy research manager at the Stanford Institute for Human-Centered Artif

5、icial Intelligence(HAI),where she develops and oversees policy research initiatives.She is passionate about harnessing AI governance research to inform policies that ensure the safe and responsible development of AI around the worldwith a focus on research on the privacy implications of AI developme

6、nt,the implementation challenges of AI regulation,and the governance of large-scale AI models.Prior to joining HAI,Caroline worked as a China-focused consultant and analyst,managing and delivering in-depth research and strategic advice regarding Chinas development and regulation of emerging technolo

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本文主要讨论了在人工智能(AI)时代,现有和未来的隐私和数据保护法规如何影响AI系统的开发和部署。文章的核心观点是,AI系统需要大量数据进行训练,这会导致对数据的更大需求,从而对个人和社会的隐私造成独特风险。尽管现有的隐私和数据保护法律对AI的发展有一定的影响,但这些法律在保护个人数据隐私方面并不充分。文章提出了三个建议来减轻AI发展对数据隐私的威胁:1. 默认情况下不正常化数据收集,通过从选择退出转向选择加入数据收集;2. 关注AI数据供应链,以改善隐私和数据保护;3. 在创建和管理个人数据时,改变策略。总的来说,文章强调了在AI时代,我们需要重新思考隐私保护的方式,以更好地保护个人和社会的隐私。
AI发展对个人隐私有何影响? 现有隐私法规能否有效监管AI? 如何减轻AI对个人隐私的威胁?
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