77 citations · 367 across the 40 of their papers we have counts for
52 papers
Social Choice Foundations for Simulation-Augmented Generation
Sonja Kraiczy, Smitha Milli, Ratip Emin Berker +6
Simulation-augmented generation (SAGE) is a recent technical proposal in which models simulate individuals' viewpoints at inference time in order to provide more representative ans…
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…
Generative Social Choice: The Next Generation
Niclas Boehmer, Sara Fish, Ariel D. Procaccia
A key task in certain democratic processes is to produce a concise slate of statements that proportionally represents the full spectrum of user opinions. This task is similar to co…
Using Collective Dialogues and AI to Find Common Ground Between Israeli and Palestinian Peacebuilders
Andrew Konya, Luke Thorburn, Wasim Almasri +4
A growing body of work has shown that AI-assisted methods -- leveraging large language models, social choice methods, and collective dialogues -- can help navigate polarization and…
Clone-Robust AI Alignment
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
A key challenge in training Large Language Models (LLMs) is properly aligning them with human preferences. Reinforcement Learning with Human Feedback (RLHF) uses pairwise compariso…
Policy Aggregation
Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia
We consider the challenge of AI value alignment with multiple individuals that have different reward functions and optimal policies in an underlying Markov decision process. We for…