Kush R. Varshney

Most-cited papers

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. Liao, Kush R. Varshney
2021arXiv.org368 citations
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Invariant Risk Minimization Games
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
2020International Conference on Machine Learning310 citations
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Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng, Kush R. Varshney, Huan Liu
2021Journal of Artificial Intelligence Research245 citations Open access
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Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney +2 more
2020Proc. ACM Hum. Comput. Interact.210 citations Open access
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Data Augmentation for Discrimination Prevention and Bias Disambiguation
Shubham Sharma, Yunfeng Zhang, J. Aliaga, Djallel Bouneffouf +2 more
2020AAAI/ACM Conference on AI, Ethics, and Society123 citations
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Fairness of Classifiers Across Skin Tones in Dermatology
N. M. Kinyanjui, Timothy Odonga, C. Cintas, N. Codella +3 more
2020International Conference on Medical Image Computing and Computer-Assisted Intervention107 citations
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AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
Vijay Arya, R. Bellamy, Pin-Yu Chen, Amit Dhurandhar +16 more
2020Journal of machine learning research77 citations
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A synergistic future for AI and ecology
Barbara A Han, Kush R. Varshney, S. LaDeau, A. Subramaniam +2 more
2023Proceedings of the National Academy of Sciences of the United States of America74 citations Open access
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Causal Feature Selection for Algorithmic Fairness
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2020SIGMOD Conference52 citations Open access
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Human-centered explainability for life sciences, healthcare, and medical informatics
S. Dey, P. Chakraborty, Bum Chul Kwon, Amit Dhurandhar +6 more
2022Patterns48 citations Open access
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Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Yunfeng Zhang, R. Bellamy, Kush R. Varshney
2020AAAI/ACM Conference on AI, Ethics, and Society44 citations Open access
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AI Explainability 360 Toolkit
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar +16 more
2020COMAD/CODS44 citations
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Agentic AI Needs a Systems Theory
Erik Miehling, K. Ramamurthy, Kush R. Varshney, Matthew Riemer +10 more
2025arXiv.org41 citations
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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI
Soumya Ghosh, Q. Liao, K. Ramamurthy, Jirí Navrátil +3 more
2021arXiv.org40 citations
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Evaluating the Prompt Steerability of Large Language Models
Erik Miehling, Michael Desmond, K. Ramamurthy, Elizabeth M. Daly +7 more
2024North American Chapter of the Association for Computational Linguistics36 citations
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Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin +1 more
2022Neural Information Processing Systems36 citations Open access
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Towards Healthy AI: Large Language Models Need Therapists Too
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
2023TRUSTNLP34 citations Open access
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Granite Guardian
Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury +19 more
2024arXiv.org29 citations
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Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Sourya Basu, Prasanna Sattigeri, K. Ramamurthy, Vijil Chenthamarakshan +3 more
2022AAAI Conference on Artificial Intelligence28 citations Open access
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Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning
G. Tadesse, C. Cintas, Kush R. Varshney, P. Staar +11 more
2023npj Digit. Medicine27 citations Open access
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Differentially Private SGDA for Minimax Problems
Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney +2 more
2022Conference on Uncertainty in Artificial Intelligence27 citations
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AI Fairness
T. Mahoney, Kush R. Varshney, M. Hind
202027 citations
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Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning
William Ogallo, Skyler Speakman, V. Akinwande, Kush R. Varshney +5 more
2020medRxiv27 citations Open access
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Decolonial AI Alignment: Openness, Visesa-Dharma, and Including Excluded Knowledges
Kush R. Varshney
2023AAAI/ACM Conference on AI, Ethics, and Society26 citations Open access
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AI Explainability 360: Impact and Design
Vijay Arya, R. Bellamy, Pin-Yu Chen, Amit Dhurandhar +16 more
2021AAAI Conference on Artificial Intelligence26 citations Open access
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Trustworthy AI and the Logics of Intersectional Resistance
Bran Knowles, Jasmine Fledderjohann, John T. Richards, Kush R. Varshney
2023Conference on Fairness, Accountability and Transparency24 citations Open access
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Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
Zhenhuan Yang, Yangsook Ko, Kush R. Varshney, Yi-Ming Ying
2022AAAI Conference on Artificial Intelligence23 citations Open access
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Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI
Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia +9 more
2024arXiv.org22 citations
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Event-Driven Continuous Time Bayesian Networks
D. Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei +2 more
2020AAAI Conference on Artificial Intelligence22 citations Open access
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Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning
Hannah Kim, G. Tadesse, C. Cintas, Skyler Speakman +1 more
2021IEEE International Symposium on Biomedical Imaging21 citations
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Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs
Giulio Zizzo, Giandomenico Cornacchia, Kieran Fraser, Muhammad Zaid Hameed +6 more
2025arXiv.org20 citations
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Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha +15 more
2024IEEE Internet Computing18 citations Open access
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Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations
Swapnaja Achintalwar, A. Garcia, Ateret Anaby-Tavor, Ioana Baldini +31 more
2024arXiv.org16 citations
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Contextual Moral Value Alignment Through Context-Based Aggregation
Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi +6 more
2024arXiv.org16 citations
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What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Yihua Zhang, Pranay Sharma, P. Ram, Min-Fong Hong +2 more
2023International Conference on Learning Representations16 citations Open access
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Granite Guardian: Comprehensive LLM Safeguarding
Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury +18 more
2025North American Chapter of the Association for Computational Linguistics15 citations Open access
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A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications
Shivashankar Subramanian, Ioana Baldini, S. Ravichandran, Dmitriy A. Katz-Rogozhnikov +6 more
2020AAAI Conference on Artificial Intelligence15 citations Open access
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AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources
Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly, Jessica He +16 more
2025arXiv.org14 citations
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CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
Isha Puri, Amit Dhurandhar, Tejaswini Pedapati, Kartikeyan Shanmugam +2 more
2025arXiv.org14 citations
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When trust is zero sum: automation’s threat to epistemic agency
Emmie Malone, S. Afroogh, Jason DCruz, Kush R. Varshney
2024Ethics and Information Technology14 citations Open access
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Humble AI
Bran Knowles, J. D’cruz, John T. Richards, Kush R. Varshney
2023Communications of the ACM14 citations Open access
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Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI
Hangzhi Guo, P. N. Venkit, Eunchae Jang, Mukund Srinath +6 more
2024arXiv.org13 citations
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Uncertainty Quantification 360: A Hands-on Tutorial
Soumya Ghosh, Q. Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil +3 more
2022COMAD/CODS13 citations
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A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques
Renzhe Yu, Suprotik Das, Sairam Gurajada, Kush R. Varshney +2 more
2021NLP4POSIMPACT13 citations Open access
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On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney +2 more
2022Neural Information Processing Systems12 citations Open access
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Fair Data Integration
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2020arXiv.org12 citations
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The incentive gap in data work in the era of large models
Katy Ilonka Gero, Payel Das, Pierre L. Dognin, Inkit Padhi +2 more
2023Nature Machine Intelligence11 citations
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An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, R. Bryant
2021arXiv.org11 citations
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Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness
Brianna Richardson, Prasanna Sattigeri, Dennis Wei, K. Ramamurthy +3 more
2023Conference on Fairness, Accountability and Transparency10 citations Open access
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Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds
Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, A. Pentland +2 more
2021AAAI/ACM Conference on AI, Ethics, and Society10 citations Open access
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