Feb. 8, 2024, 5:46 a.m. | Taylor Sorensen Jared Moore Jillian Fisher Mitchell Gordon Niloofar Mireshghallah Christopher Michael Rytting

cs.CL updates on arXiv.org arxiv.org

With increased power and prevalence of AI systems, it is ever more critical that AI systems are designed to serve all, i.e., people with diverse values and perspectives. However, aligning models to serve pluralistic human values remains an open research question. In this piece, we propose a roadmap to pluralistic alignment, specifically using language models as a test bed. We identify and formalize three possible ways to define and operationalize pluralism in AI systems: 1) Overton pluralistic models that present …

ai systems alignment cs.ai cs.cl cs.ir diverse human language language models people perspectives power question research roadmap serve systems values

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