Dhurandhar, Amit

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Arya, V., Bellamy, R. K. E., Chen, P.-Y., Dhurandhar, A., Hind, M., Hoffman, S. C., Houde, S., Liao, Q. V., Luss, R., Mojsilović, A., et al. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 268

Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making

Rastogi, C., Zhang, Y., Wei, D., Varshney, K. R., Dhurandhar, A., & Tomsett, R. (2022) · Proceedings of the ACM on Human-Computer Interaction

Human-Automation Interaction and SafetyDecision-Making and Behavioral Economics

Cited by 216

Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI

Liao, Q. V., Zhang, Y., Luss, R., Doshi-Velez, F., & Dhurandhar, A. (2022) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 69

Agentic AI Needs a Systems Theory

Miehling, E., Ramamurthy, K. N., Varshney, K. R., Riemer, M., Bouneffouf, D., Richards, J. T., Dhurandhar, A., Daly, E. M., Hind, M., Sattigeri, P., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceMulti-Agent Systems and Negotiation

Cited by 6