Prasanna Sattigeri

Prasanna Sattigeri is a Principal Research Scientist at IBM Research AI and the MIT-IBM Watson AI Lab, where his primary focus is on developing reliable AI solutions. His research interests encompass areas such as generative modeling, uncertainty quantification, and learning with limited data. His current projects are focused on the governance and safety of large language models (LLMs), aiming to establish both theoretical frameworks and practical systems that ensure these models are reliable and trustworthy. He has played a significant role in the development of several well-known open-source trustworthy AI toolkits, including AI Fairness 360, AI Explainability 360, and Uncertainty Quantification 360.

Google Scholar: https://scholar.google.com/citations?hl=en&user=m-s38ikAAAAJ&view_op=list_works

Detailed CV

News

• Invited talk on LLM Governance and Aligment. NAACL TrustNLP Workshop, June 2024. Slides
• Panel participation and talk on Reliable AI-assisted Decision Making. National Academy of Sciences Decadal Survey
• Invted talk on Uncertainty Calibration and AI-assisted Decision Making. Workshop on Uncertainty Reasoning and Quantification in Decision Making, KDD, August 2023.
• Panel participation and talk on Generative AI and Safety. DSHealth Workshop, KDD, August 2023.
• Panel participation on Trustworthy LLMs. AI for Open Society Day, KDD, August 2023.