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Poster
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Wed 14:00
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OpenXAI: Towards a Transparent Evaluation of Model Explanations
Chirag Agarwal · Satyapriya Krishna · Eshika Saxena · Martin Pawelczyk · Nari Johnson · Isha Puri · Marinka Zitnik · Himabindu Lakkaraju
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Poster
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Thu 9:00
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[Re] Transparent Object Tracking Benchmark
Žiga Trojer
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Poster
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Tue 14:00
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Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations
Tessa Han · Suraj Srinivas · Himabindu Lakkaraju
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Poster
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Tue 9:00
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Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
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Poster
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Wed 9:00
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On the Epistemic Limits of Personalized Prediction
Lucas Monteiro Paes · Carol Long · Berk Ustun · Flavio Calmon
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Expo Talk Panel
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Mon 9:30
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Uncertainty quantification for fair and transparent AI-assisted decision-making
Prasanna Sattigeri
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Affinity Workshop
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Gender Bias Evaluation in Luganda-English Machine Translation
Eric Peter Wairagala
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Affinity Workshop
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Impact of Feedback Type on Explanatory Interactive Learning
Misgina Tsighe Hagos · Kathleen Curran · Brian Mac Namee
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Workshop
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Fri 8:55
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Keynote 5: Building human-centric AI systems: thoughts on user agency, transparency and trust. Fernanda Viegas, Google and Harvard University, US.
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Workshop
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Indexing AI Risks with Incidents, Issues, and Variants
Sean McGregor · Kevin Paeth · Khoa Lam
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Workshop
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Tensions Between the Proxies of Human Values in AI
Daniel Nissani · Teresa Datta · John Dickerson · Max Cembalest · Akash Khanna · Haley Massa
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