Talks

Below is a list of research talks I have given.

“Beyond Feature Importance: Explaining Uncertainty Estimates”

• Technical University of Denmark (DTU). Virtual. April 2021.
• Harvard SEAS. Virtual. April 2021.

“Challenges in Deploying Explainable Machine Learning”

• Imperial College Explainable AI Seminar. Virtual. February 2021.
• Partnership on AI. Virtual. August 2020.
• Robust and Responsible AI (Rsqrd) Developers Meetup. Virtual. July 2020.
• (Keynote) ICML Workshop on Extending Explainable AI. Virtual. July 2020.
• QuantumBlack (McKinsey) AI Seminar. London, UK. May 2020.

“Explainable Machine Learning in Deployment”

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

“Aggregating Feature-based Explanations”

• IJCAI. 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.