Sattigeri, Prasanna

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

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

Bhatt, U., Antorán, J., Zhang, Y., Liao, Q. V., Sattigeri, P., Fogliato, R., Melançon, G., Krishnan, R., Stanley, J., Tickoo, O., et al. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

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

Cited by 300

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

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

Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions

Do, H. J., Ostrand, R., Weisz, J. D., Dugan, C., Sattigeri, P., Wei, D., Murugesan, K., & Geyer, W. (2024) · arXiv

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 12

Who Should Predict? Exact Algorithms For Learning to Defer to Humans

Mozannar, H., Lang, H., Wei, D., Sattigeri, P., Das, S., & Sontag, D. (2023) · arXiv

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 4

Decocted Experience Improves Test-Time Inference in LLM Agents

Shen, M., Zha, K., He, Z., Hong, Z.-W., Ouyang, S., Ryu, J. J., Sattigeri, P., Diggavi, S., & Wornell, G. (2026) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0