Research map / Large language models / AI and society
Participatory ML for Social Harm Should be Constructed, Validated and Reasoned Through First-Person Accounts
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Position paper arguing that participatory machine learning for social harm evaluation should use community first-person accounts as the raw signal for constructing, validating, and reasoning about harm resources.
Problem
Participatory ML has broadened who builds social harm evaluation resources, but the kind of text used as raw signal is largely unexamined; researcher-generated stimuli fix the harm frame before community participation and structured annotation filters out interpretive harm knowledge.
Approach
Argues that first-person accounts written by affected community members should serve as the primary raw signal for constructing, validating, and reasoning through social harm evaluation resources, rather than researcher-generated stimuli.
Closest papers by meaning
- From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms (ICML 2025 · similarity 0.84)
- Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models (NeurIPS 2025 · similarity 0.83)
- Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models (NeurIPS 2026 · similarity 0.81)
- More of the Same: Persistent Representational Harms Under Increased Representation (NeurIPS 2025 · similarity 0.81)
- Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation (AAAI 2024 · similarity 0.81)
- SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models (AAAI 2024 · similarity 0.81)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.