Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work

This position paper argues that effectively "democratizing AI" requires democratic governance and alignment of AI, and that this is particularly valuable for decisions with systemic societal impacts. Initial steps -- such as Meta's Community Forums and Anthropic's Collective Constitutional AI -- have illustrated a promising direction, where democratic processes could be used to meaningfully improve public involvement and trust in critical decisions. To more concretely explore what increasingly democratic AI might look like, we provide a "Democracy Levels" framework and associated tools that: (i) define milestones toward meaningfully democratic AI, which is also crucial for substantively pluralistic, human-centered, participatory, and public-interest AI, (ii) can help guide organizations seeking to increase the legitimacy of their decisions on difficult AI governance and alignment questions, and (iii) support the evaluation of such efforts.

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Publication Details

Journal
Research Portal (King's College London)
Published
2024-11-14
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work

Michiel A. Bakker, Quan Ze Chen, Smitha Milli, Andrew Konya et al.
Research Portal (King's College London)
Ethics and Social Impacts of AI
article

Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work

Michiel A. Bakker, Quan Ze Chen, Smitha Milli, Andrew Konya, Flynn Devine, Atoosa Kasirzadeh, Manon Revel, Amy X. Zhang, Kyle Redman, K. J. Kevin Feng, Luke; id_orcid 0000-0003-4120-5056 Thorburn, Aviv Ovadya, Bilva Chandra, Oliver Smith
article en

Abstract

This position paper argues that effectively "democratizing AI" requires democratic governance and alignment of AI, and that this is particularly valuable for decisions with systemic societal impacts. Initial steps -- such as Meta's Community Forums and Anthropic's Collective Constitutional AI -- have illustrated a promising direction, where democratic processes could be used to meaningfully improve public involvement and trust in critical decisions. To more concretely explore what increasingly democratic AI might look like, we provide a "Democracy Levels" framework and associated tools that: (i) define milestones toward meaningfully democratic AI, which is also crucial for substantively pluralistic, human-centered, participatory, and public-interest AI, (ii) can help guide organizations seeking to increase the legitimacy of their decisions on difficult AI governance and alignment questions, and (iii) support the evaluation of such efforts.

Research Portal (King's College London)
Peace, Justice and strong institutions
Openalex Percentile: Top 35%
Ethics and Social Impacts of AI
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Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work — Michiel A. Bakker, Quan Ze Chen, et al. · Research Portal (King's College London) (2024) | TGRS Research Map | TGRS