Umang Bhatt bio photo

Umang Bhatt

Assistant Professor & Faculty Fellow
New York University

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Talks

Below is a list of research talks I have given.

“Algorithmic Transparency in Machine Learning”

  • House of Lords, Select Committee on AI in Weapon Systems. Cambridge, UK. June 2023.
  • Indian Institute of Technology Bombay, C-MInDS Seminar. Mumbai, India. January 2023.
  • St. Edmund’s College, Winter Programme on AI. Virtual. December 2022.
  • University of Chicago, Chicago Human+AI Lab. Virtual. November 2022.
  • Alan Turing Institute, Safe and Ethical AI Programme. Virtual. November 2022.
  • Massachusetts Institute of Technology, AI Ethics and Policy Group. Virtual. October 2022.
  • Birbeck, University of London, Workshop on Human Behavioral Aspects of (X)AI. Virtual. September 2022.
  • Harvard University, Data to Actionable Knowledge Lab. Cambridge, MA. September 2022.
  • Harvard Business School, AI4LIFE Lab. Cambridge, MA. September 2022.
  • DeepMind, Ethics Research Team. Virtual. July 2022.

“Challenges and Frontiers in Deploying Transparent Machine Learning”

  • University of Electronic Science and Technology of China, Summer Programme on AI and Science. Virtual. July 2022.
  • University of Bristol, REPHRAIN Masterclass. Virtual. June 2022.
  • University of Cambridge, Guest Lecture for MSt in AI Ethics and Society. Cambridge, UK. June 2022.
  • University of Manchester, Keynote at Advances in Data Science and AI Conference. Virtual. June 2022.
  • Leverhulme Centre for the Future of Intelligence, Seminar Series. Virtual. June 2022.
  • Ada Lovelace Institute, Brown Bag Lunch. Virtual. June 2022.
  • Von Hügel Institute, Research Salon on Artificial Intelligence. Cambridge, UK. June 2022.
  • Pennsylvania State University, Young Achievers Symposium. Virtual. April 2022. Recording
  • UK Ministry of Defense, AI Safety Workshop. Cambridge, UK. March 2022.
  • University of Cambridge, Guest Lecture for CDT on AI for Environmental Risks. Virtual. January 2022.
  • Huawei, Strategy & Technology Workshop. Virtual. October 2021.
  • QuantUniversity, Summer School Speaker Series. Virtual. July 2021. Recording
  • Vanguard Health, MedTech Insight Podcast. Virtual. June 2021. Recording
  • Technical University of Denmark, ML Seminar on Trustworthiness and Interpretability. Virtual. April 2021.
  • Harvard SEAS, Guest Lecture for Interpretable Machine Learning. Virtual. April 2021.
  • Imperial College, Explainable AI Seminar. Virtual. February 2021.
  • Cambridge Department of Chemical Engineering, ML+Chemistry Reading Group. Virtual. October 2020.
  • Cambridge Observatory for Human-Machine Collaboration, Launch Keynote. Virtual. September 2020.
  • Partnership on AI. Virtual. August 2020. Recording
  • Robust and Responsible AI (Rsqrd) Developers Meetup, Keynote. Virtual. July 2020. Recording
  • ICML Workshop on Extending Explainable AI, Keynote. Virtual. July 2020.
  • QuantumBlack (McKinsey), AI Seminar. London, UK. May 2020.

“Explainable Machine Learning in Deployment”

  • Mozilla All-Hands Meeting, Keynote. Virtual. June 2020.
  • IBM+Partnership on AI Explainable AI Workshop. New York, NY. February 2020.
  • ACM FAccT. Barcelona, Spain. January 2020. Recording
  • Partnership on AI, All Partners Meeting. London, UK. September 2019.

“Aggregating Feature-based Explanations”

  • International Joint Conference on Artificial Intelligence. Virtual. July 2020.
  • Partnership on AI. San Francisco, CA. July 2019.
  • Fiddler Labs. Palo Alto, CA. May 2019.
  • University of Cambridge. Cambridge, UK. April 2019.
  • AAAI, Spring Symposium on Interpretable AI. Stanford, CA. March 2019.
  • Carnegie Mellon University. Pittsburgh, PA. March 2019.

“Neural Information Flow”

  • Element AI. Toronto, Canada. December 2018.
  • Carnegie Mellon University. Pittsburgh, PA. November 2018.

“Maintaining the Humanity of Our Models”

  • AILA, Symposium on Creating a Fair and Ethical Future. Pasadena, CA. October 2018.
  • AAAI, Spring Symposium on AI and Society. Stanford, CA. March 2018.
  • Carnegie Mellon University. Pittsburgh, PA. February 2018.

“Intelligent Pothole Detection”

  • University of Chicago, Data Science for Social Good. Chicago, IL. October 2017.
  • Bloomberg, Data for Good Exchange. New York, NY. September 2017.
  • Carnegie Mellon University. Pittsburgh, PA. September 2017.