AI alignment must move beyond assuming users have fully formed goals and instead provide active cognitive support to help form and refine intent over time.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=
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Chorus generates realistic deliberation discussions via LLM agents with memory and Poisson-timed participation, validated by 30 experts on realism, coherence, and utility.
citing papers explorer
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Alignment has a Fantasia Problem
AI alignment must move beyond assuming users have fully formed goals and instead provide active cognitive support to help form and refine intent over time.
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CHORUS: An Agentic Framework for Generating Realistic Deliberation Data
Chorus generates realistic deliberation discussions via LLM agents with memory and Poisson-timed participation, validated by 30 experts on realism, coherence, and utility.