Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI
Published in ACM CHI Workshop Sociotechnical AI Governance, 2024
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Embracing Ambiguity: Bayesian Nonparametrics and Stakeholder Participation for Ambiguity-Aware Safety Evaluation
Published in AAAI 2026 Workshop MURE, 2026
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Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends
Published in arXiv preprint, 2026
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“Taking Stock at FAccT”: Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community
Published in ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2026
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Participatory Governance for AGI Societal Impact: A Case Study of AI Ethics Community Reflexivity
Published in ICLR 2026 Workshop P-AGI, 2026
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Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
Published in arXiv preprint, 2026
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Challenges to Grassroots Organization Engagement with AI Policy
Published in ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2026
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When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
Published in International Conference on Machine Learning (ICML), 2026
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Who Evaluates AI’s Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations
Published in International Conference on Machine Learning (ICML), 2026
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Bayesian Inference and Decision Audits for Public Archives of Frontier AI Evaluations
Published in ICML 2026 Workshops CTB and HT, 2026
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