#AFAA2026 #ICLR2026 | @zeyu1tang @prakhar_24 @adoubleva @miriamrateike @jamelleWD @gfarnadi @JessicaSchrouff @sanmikoyejo
Joined August 2020
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That’s a wrap for #AFAA2026!!! 🎉 Thank you to all the authors, attendees, roundtable leads and speakers for the great presentations and insightful discussions!
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That’s a wrap for #AFAA2026!!! 🎉 Thank you to all the authors, attendees, roundtable leads and speakers for the great presentations and insightful discussions!
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Shoutout to our incredible organizing team for yet another successful workshop @prakhar_24 , @zeyu1tang , @adoubleva , @miriamrateike , @JamelleWD , @gfarnadi , @JessicaSchrouff , @sanmikoyejo
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Thank you to our amazing roundtable leads @franavargas, @YatongChen, @andreas_h0wpt for great discussions!
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For our afternoon spotlights, we have 3 talks by Seraphina Goldfarb-Tarrant (Cohere), Edie Pearman (Mila, McGill University), and Canyu Chen (Northwestern University)
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Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
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Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
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Back from lunch, we have our third and final invited talk of the day.
Excited to have Professor Furong Huang @furongh from University of Maryland talk about "Rethinking Test-Time Thinking: From Token-Level Rewards to Robust Generative Agents"
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Next up, we three roundtable discussions:
- Fairness via Interpretable Alignment led by @franavargas
- Fairness under Strategic Interaction in Agentic Systems led by @YatongChen
- Fairness in Preference Learning and Incentive Design led by @andreas_h0wpt
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Next up, we have our second invited talk by Isabela Albuquerque @isabela_alb from Google DeepMind on "From Pixels to Actions: A Roadmap for Evaluating Safety in Multimodal Agents"!
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Now, for our morning spotlights, we have 3 talks by Phil Blandfort, Leodécio Braz da Silva Segundo, and Megan Smith
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When AI Describes Race? Unveiling Racial Bias in Vision-Language Models in Brazilian People
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Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies
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For our first invited talk of the day, we have Professor Mark Riedl @mark_riedl from Georgia Tech on "Reasoning, Alignment, and Explainability" #AFAA2026
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