3 papers
cs.AI2026
Human Decision-Making with AI Assistance under Correlated Features
Yanru Guan, Naveen Raman, Fei Fang
Humans increasingly make decisions with AI assistance; for example, doctors may follow AI-recommended diagnostic tests and base their diagnoses on the results. A natural question i…
cs.LG2026
Selecting Decision-Relevant Concepts in Reinforcement Learning
Naveen Raman, Stephanie Milani, Fei Fang
Training interpretable concept-based policies requires practitioners to manually select which human-understandable concepts an agent should reason with when making sequential decis…
cs.LG2025
Do Concept Bottleneck Models Respect Localities?
Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo +1
Concept-based explainability methods use human-understandable intermediaries to produce explanations for machine learning models. These methods assume concept predictions can help…