← 返回论文检索
NeurIPS 2025{location} PosterAccept

Don’t Give Up on Democratizing AI for the Wrong Reasons

Annette Zimmermann, Andrew Zeppa, Srijan Pandey, Kenneth Diao

University of Wisconsin - Madison · University of Wisconsin--Madison · University of Wisconsin-Madison

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。

摘要

The claim that the AI community, or society at large, should ‘democratize AI’ has attracted considerable critical attention and controversy. Two core problems have arisen and remain unsolved: conceptual disagreement persists about what democratizing AI means; normative disagreement persists over whether democratizing AI is ethically and politically desirable. We identify eight common AI democratization traps: democratization-skeptical arguments that seem plausible at first glance, but turn out to be misconceptions. We develop arguments about how to resist each trap. We conclude that, while AI democratization may well have drawbacks, we should be cautious about dismissing AI democratization prematurely and for the wrong reasons. We offer a constructive roadmap for developing alternative conceptual and normative approaches to democratizing AI that successfully avoid the traps.