Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers
As AI systems make more morally loaded decisions across society, one response has been moral preference elicitation. In this approach, researchers poll participants on hypothetical dilemmas and use the aggregated votes to train a policy that an AI model then applies at scale. Before any vote is cast, developers make three key choices in the moral AI elicitation pipeline: feature scoping, voter sampling, and question framing. In other words, they decide which features go to a vote, which voters to include, and how to present the question. These choices are often opaque, undocumented, and treate
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 55%I built a native Reddit app where a council of 5 AI agents debate and roast your project ideas →
- PossiblePossibly related (embedding) · 50%Editorial: Ethical issues with generative artificial intelligence - CT Insider →
- LinkedLinked via arxiv author · 85%Taenyun Kim →
“Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers”
- LinkedLinked via arxiv author · 85%Edyta Bogucka →
“Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers”
- LinkedLinked via arxiv author · 85%Daniele Quercia →
“Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers”