AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence
With the growing adoption of AI systems, reasoning about how society can exert control over AI becomes an increasingly urgent problem. Existing work on democratic control largely focuses on macro-level governance. In contrast, we propose a new approach grounded in social choice theory, which we term collective control of artificial intelligence. We argue that collective input can and should be incorporated at multiple points across the ML development pipeline, from data collection through objective design to alignment. We further demonstrate that social choice provides a well-suited modelling language for the treatment of collective input across all stages and that its axiomatic methodolo...
| Authors | Paul Anton Bachmann, Niclas Boehmer, Lukas Daniel Klausner et al. |
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| Primary category | cs.CY |
| Published | 14 April 2026 |
| Last updated at source | 14 April 2026 |
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