Episode Topic: Technology Ethics Conference 2020 - Panel 2The Technology Ethics Center at Notre Dame convenes global thought leaders in academia, industry, non-profit organizations, and governmental agencies to develop ethical and legal frameworks that keep pace with technological development. This lecture discusses algorithmic bias in technology and the ethics and implications behind it. Featured Speakers: Kirsten Martin, William P. and Hazel B. White Professor of Technology Ethics, University of Notre Dame Mendoza School of BusinessScott Nestler, Associate Teaching Professor in the IT, Analytics, and Operations (ITAO) Department and Academic Director of the MS in Business Analytics Program, University of Notre DameMutale Nkonde, 2020-2021 Fellow at the Notre Dame Institute for Advanced Study, University of Notre DameFrancesca Rossi, IBM Fellow and the IBM AI Ethics Global Leader, IBM CorporationKate Vredenburgh, Assistant Professorship in the Department of Philosophy, Logic and Scientific Method, London School of EconomicsMichael Zimmer, Ph.D., Associate Professor in the Department of Computer Science, Director of Undergraduate Studies, Co-Director of the Interdisciplinary Data Science Major, and Director of the Graduate Data Science Certificate, Marquette UniversityRead this episode's recap over on the University of Notre Dame's open online learning community platform, ThinkND: go.nd.edu/7bfb2f.This podcast is a part of the TEC Talks ThinkND Series titled “Algorithmic Bias: Sources and Responses”.Thanks for listening! The ThinkND Podcast is brought to you by ThinkND, the University of Notre Dame's online learning community. We connect you with videos, podcasts, articles, courses, and other resources to inspire minds and spark conversations on topics that matter to you — everything from faith and politics, to science, technology, and your career. Learn more about ThinkND and register for upcoming live events at think.nd.edu. Join our LinkedIn community for updates, episode clips, and more.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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