1 citations · 1 across the 9 of their papers we have counts for
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Embeddings for Preferences, Not Semantics
Carter Blair, Ariel D. Procaccia, Milind Tambe
Modern AI is opening the door to collective decision-making in which participants express their views as free-form text rather than voting on a fixed set of candidates. A natural i…
Probably Approximately Consensus: On the Learning Theory of Finding Common Ground
Carter Blair, Ben Armstrong, Shiri Alouf-Heffetz +2
A primary goal of online deliberation platforms is to identify ideas that are broadly agreeable to a community of users through their expressed preferences. Yet, consensus elicitat…
Procedural Fairness in Multi-Agent Bandits
Joshua Caiata, Carter Blair, Kate Larson
In the context of multi-agent multi-armed bandits (MA-MAB), fairness is often reduced to outcomes: maximizing welfare, reducing inequality, or balancing utilities. However, evidenc…