Don’t Give Up on Democratizing AI for the Wrong Reasons
Annette Zimmermann, Andrew Zeppa, Srijan Pandey, Kenneth Diao
Abstract
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.
BibTeX
@inproceedings{
zimmermann2025dont,
title={Don{\textquoteright}t Give Up on Democratizing {AI} for the Wrong Reasons},
author={Annette Zimmermann and Andrew Zeppa and Srijan Pandey and Kenneth Diao},
booktitle={The Thirty-Ninth Annual Conference on Neural Information Processing Systems Position Paper Track},
year={2025},
url={https://openreview.net/forum?id=FjxyAotxtT}
}