Data Ethics: Trust but Verify

This episode is one of a special series recorded during the 2019 INFORMS Annual Meeting in Seattle. Joining me is Heidi Livingston Eisips from San Jose State University. She chaired a session at the 2019 Annual Meeting, “Debiasing Decision Making – Ethical Data Mining and Eliminating Algorithmic Bias,” that explored how to balance the benefits of data mining and data analytics in modern society while creating and sustaining a legal and ethical framework to prevent bias.

Want to learn more? To take a deeper dive on what we talked about in the episode, check out the Viewpoint column in the December issue OR/MS Today magazine, written by Eisips. If you would like to contribute to the conversation, session panelist Bill Franks of the International Institute for Analytics is curating a book on ethics and data science and is welcoming submissions. For more information, click here.