Umang Bhatt

Bridge University — SS

Computer Science · Physical Sciences

17h-index1.0kcitations78works4.62yr avg
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Research Topics

Explainable Artificial Intelligence (XAI)(39), Adversarial Robustness in Machine Learning(21), Ethics and Social Impacts of AI(19), Machine Learning and Data Classification(15), Machine Learning in Healthcare(10)

Publications78 total

Documenting Deployment with Fabric: A Repository of Real-World AI Governance
Proceedings of the AAAI/ACM Conference on AI Ethics and Society·2025Open Access
Towards Interactive Evaluations for Interaction Harms in Human-AI Systems
Proceedings of the AAAI/ACM Conference on AI Ethics and Society·2025· 1 citedOpen Access
Measuring and mitigating overreliance is necessary for building human-compatible AI
arXiv (Cornell University)·2025Open Access
Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
arXiv (Cornell University)·2025Open Access
Context-specific certification of AI systems: a pilot in the financial industry
AI and Ethics·2025· 2 citedOpen Access
Learning Personalized Decision Support Policies
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems
arXiv (Cornell University)·2025Open Access
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
arXiv (Cornell University)·2025Open Access
Beyond Quantification: Navigating Uncertainty in Professional AI Systems
RSS Data Science and Artificial Intelligence·2025Open Access
Building machines that learn and think with people
Nature Human Behaviour·2024· 34 cited
When Should Algorithms Resign? A Proposal for AI Governance
Computer·2024· 1 cited
Building Machines that Learn and Think with People
arXiv (Cornell University)·2024· 1 citedOpen Access
Modulating Language Model Experiences through Frictions
arXiv (Cornell University)·2024Open Access
Large Language Models Must Be Taught to Know What They Don't Know
arXiv (Cornell University)·2024· 2 citedOpen Access
Representational Alignment Supports Effective Machine Teaching
arXiv (Cornell University)·2024· 1 citedOpen Access
Evaluating language models for mathematics through interactions
Proceedings of the National Academy of Sciences·2024· 39 citedOpen Access
When Should Algorithms Resign? A Proposal for AI Governance
arXiv (Cornell University)·2024· 1 citedOpen Access
Large Language Models Must Be Taught to Know What They Don’t Know
2024
Evaluating Language Models for Mathematics through Interactions
SPIRE - Sciences Po Institutional REpository·2023Open Access
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing·2023· 1 citedOpen Access
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Frequent Co-authors

Adrian Weller(37), Katherine M. Collins(13), Mateja Jamnik(7), Alice Xiang(6), José M. F. Moura(6), Javier Antorán(4), Lionel Wong(4), Joshua B. Tenenbaum(4), Q. Vera Liao(3), Bernhard Schölkopf(3), Ilia Sucholutsky(3), Matthew L Barker(3), Valerie Chen(3), Ameet Talwalkar(3), Emma Kallina(3), Yunfeng Zhang(2), Prasanna Sattigeri(2), Riccardo Fogliato(2), Gabrielle Gauthier Melançon(2), Ranganath Krishnan(2)