Varshney, Kush R.

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Bellamy, R. K. E., Dey, K., Hind, M., Hoffman, S. C., Houde, S., Kannan, K., Lohia, P., Martino, J., Mehta, S., Mojsilovic, A., et al. (2018) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 1,581

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

Bellamy, R. K. E., Dey, K., Hind, M., Hoffman, S. C., Houde, S., Kannan, K., Lohia, P., Martino, J., Mehta, S., Mojsilović, A., et al. (2019) · IBM Journal of Research and Development

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 884

FactSheets: Increasing trust in AI services through supplier's declarations of conformity

Arnold, M., Bellamy, R. K. E., Hind, M., Houde, S., Mehta, S., Mojsilović, A., Nair, R., Ramamurthy, K. N., Olteanu, A., Piorkowski, D., et al. (2019) · IBM Journal of Research and Development

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 434

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

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

Cheng, L., Varshney, K. R., & Liu, H. (2021) · Journal of Artificial Intelligence Research

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 261

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

On the safety of machine learning: Cyber-physical systems, decision sciences, and data products

Varshney, K. R., & Alemzadeh, H. (2017) · Big Data

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 211

Fairness GAN: Generating datasets with fairness properties using a generative adversarial network

Sattigeri, P., Hoffman, S. C., Chenthamarakshan, V., & Varshney, K. R. (2019) · IBM Journal of Research and Development

Ethics and Social Impacts of AIGenerative Adversarial Networks and Image Synthesis

Cited by 134

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Liao, Q. V., & Varshney, K. R. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 120

Trustworthy machine learning and artificial intelligence

Varshney, K. R. (2019) · XRDS: Crossroads, The ACM Magazine for Students

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

Cited by 73

Experiences with Improving the Transparency of AI Models and Services

Hind, M., Houde, S., Martino, J., Mojsilovic, A., Piorkowski, D., Richards, J., & Varshney, K. R. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

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

Cited by 44

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis

Calmon, F. D. P., Wei, D., Vinzamuri, B., Ramamurthy, K. N., & Varshney, K. R. (2018) · IEEE Journal of Selected Topics in Signal Processing

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 33

Prescriptive Analytics for Allocating Sales Teams to Opportunities

Kawas, B., Squillante, M. S., Subramanian, D., & Varshney, K. R. (2013) · 2013 IEEE 13th International Conference on Data Mining Workshops

Big Data and Business IntelligenceSupply Chain and Inventory Management

Cited by 28

Information retrieval, fusion, completion, and clustering for employee expertise estimation

Horesh, R., Varshney, K. R., & Yi, J. (2016) · 2016 IEEE International Conference on Big Data (Big Data)

AI and HR TechnologiesExpert finding and Q&A systems

Cited by 14

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