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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.09222 |
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| _version_ | 1866909747301580800 |
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| author | Ovadya, Aviv Redman, Kyle Thorburn, Luke Chen, Quan Ze Smith, Oliver Devine, Flynn Konya, Andrew Milli, Smitha Revel, Manon Feng, K. J. Kevin Zhang, Amy X. Chandra, Bilva Bakker, Michiel A. Kasirzadeh, Atoosa |
| author_facet | Ovadya, Aviv Redman, Kyle Thorburn, Luke Chen, Quan Ze Smith, Oliver Devine, Flynn Konya, Andrew Milli, Smitha Revel, Manon Feng, K. J. Kevin Zhang, Amy X. Chandra, Bilva Bakker, Michiel A. Kasirzadeh, Atoosa |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_09222 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work Ovadya, Aviv Redman, Kyle Thorburn, Luke Chen, Quan Ze Smith, Oliver Devine, Flynn Konya, Andrew Milli, Smitha Revel, Manon Feng, K. J. Kevin Zhang, Amy X. Chandra, Bilva Bakker, Michiel A. Kasirzadeh, Atoosa Computers and Society 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. |
| title | Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2411.09222 |