About

AI ethics can’t be just a set of policies or a follow-up project. When building AI solutions, organizations need to embed ethics into the process from an early stage — and ensure teams and individuals are engaged in ethical AI as a part of everyday work. That’s according to the research of MIT SMR columnist and Babson professor Tom Davenport, coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022).


In this webinar, you will learn:

  • How to identify AI’s ethical issues at an early development stage.

  • Why data ethics and AI ethics go hand in hand.

  • Key lessons from companies such as Scotiabank and Unilever on incorporating AI ethics into processes.


Webinar Sponsored by:


MIT Sloan Executive Education
Presenters
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Thomas H. Davenport
Distinguished Professor, Babson College
Thomas H. Davenport is a Distinguished Professor at Babson College, a visiting professor at the UVA Darden School of Business, a fellow of the MIT Initiative on the Digital Economy, and a senior adviser to Deloitte’s Chief Data and Analytics Officer program.
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Laurianne McLaughlin
Senior Editor, Digital, MIT Sloan Management Review
Laurianne McLaughlin is senior editor, digital, at MIT Sloan Management Review. She will moderate the session.
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