Claudia V. Goldman — accepted AI-conference papers

2026

Causal Explanations for Sequential Decision Making (Abstract Reprint)

Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein

AAAI 2026technical

Stochastic sequential decision-making systems — such as Markov decision processes and their variants — are increasingly used in areas such as transportation, healthcare, and communication. However, the ability to explain these systems’ outputs to non-technical end users has not kept pace with their

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2026

Context-Aware Concept Distillation for Trustworthy Flood Prediction

Eli Levinkopf, Efrat Morin, Claudia V. Goldman

IJCAI 2026

Effective flood risk management relies on accurate forecasting, yet the ”black box” nature of state-of-the-art Deep Learning models creates a barrier to trust and accountability in high-stakes public safety decisions. While existing Explainable AI (XAI) methods offer local attributions, they fail to

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