Papers by Christopher M. Homan

1 papers
Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment (2026.acl-srw)

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Challenge: Disagreement arises from subjective human opinion and can vary with one’s identity, beliefs, and social environment.
Approach: They propose a human-centered framework for reproducible ML evaluation and AI alignment that takes disagreement into account when building human-centric AI systems.
Outcome: The proposed framework is based on a human-centered and perspective-aware framework for reproducible ML evaluation and AI alignment.

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