The Past, Present, and Future States of Explainable AI

2021-03-11

This conversation was part of Fiddler's 3rd annual Explainable AI Summit on October 21, 2020. Explainability is the most effective way to ensure AI solutions are transparent, accountable, responsible, fair, and ethical across use cases and industries. When you know why your models are doing something, you have the power to make them better while also sharing this knowledge to empower your entire organization. In this panel discussion, industry and research experts will shed light on the state of Explainable AI today, and...

This conversation was part of Fiddler's 3rd annual Explainable AI Summit on October 21, 2020.

Explainability is the most effective way to ensure AI solutions are transparent, accountable, responsible, fair, and ethical across use cases and industries. When you know why your models are doing something, you have the power to make them better while also sharing this knowledge to empower your entire organization. In this panel discussion, industry and research experts will shed light on the state of Explainable AI today, and key considerations to ensure success moving forward.

For more information, please visit http://bit.ly/FiddlerPodcast

Panelists:

Amirata Ghorbani, PhD Candidate in A.I., Stanford University

Sara Hooker, Research Scholar, Google Brain

Pradeep Natarajan, Principal Scientist, Amazon Alexa AI

Victor Storchan, Senior Machine Learning Engineer at JPMorgan Chase & Co.

Moderated by Amit Paka, Founder and CPO, Fiddler

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