A Persona-Based Evaluation Framework for Pluralistic Alignment in Generative AI
Current alignment paradigms for generative artificial intelligence rely predominantly on monolithic benchmarking frameworks that reduce the plurality of human judgment to aggregated statistical baselines, thereby obscuring cultural, demographic, and contextual variability in evaluation. We introduce a state-space constrained emulation framework for AI evaluation that replaces singular assessment functions with a structured manifold of synthetic cognitive profiles representing diverse human persp
Record details
Published: 29 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (29 May 2026), “A Persona-Based Evaluation Framework for Pluralistic Alignment in Generative AI,” evidence record 3447, https://ethics.ai/record/3447 (originally published by arXiv).
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