Pith. sign in

REVIEW 1 cited by

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

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2411.09222 v4 pith:XVFHNT3E submitted 2024-11-14 cs.CY

classification cs.CY
keywords democraticdecisionsalignmentdemocracyframeworkgovernancelevelsmeaningfully
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original 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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Aggregated Individual Reporting for Post-Deployment Evaluation

    cs.CY 2025-06 conditional novelty 6.0 of 10

    The authors formalize a mechanism for collecting and aggregating public reports about deployed AI systems, aiming to surface unknown harms and enable accountability.

Pith tools