Spring 2022 Cognitive Science Seminar
Series focuses on The Ethics of Artificial Intelligence
The Spring 2022 Cognitive Science Seminar on "The Ethics of Artificial Intelligence" and is being led by Dr. David Miguel Gray, assistant professor in the Philosophy Department. The full list of external speakers are highlighted below. Zoom details follow the list of speakers. All talks will be on Wednesdays and start at 4 pm Central Standard Time (UTC -06:00).
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Date
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Topic and Speaker
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2/2/22
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"Why Privacy Concerns aren't about Privacy"
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Reid Blackman - Founder and CEO of Virtue Consultants, Chief Ethics Officer, Government
Blockchain Association, Advisory Board, Ethics Grade, Hatch, & EY
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2/9/22
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"Ethical Principles for Artificial Intelligence"
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Paul Thagard Distinguished Professor Emeritus of Philosophy, The University of Waterloo
Fellow of the Royal Society of Canada, the Cognitive Science Society, & the Association
for Psychological Science
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2/16/22
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“Legitimacy, Authority, and the Value of Explanations”
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Seth Lazar Professor of Philosophy, Australian National University Distinguished Research
Fellow, Oxford Institute for Ethics in AI
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2/23/22
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"A Case for Humans-in-the-Loop: Decisions in the Presence of Misestimated Algorithmic
Scores"
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Maria De-Arteaga - Information, Risk and Operation Management, University of Texas
at Austin, Core faculty member, Machine Learning Laboratory, University of Texas at
Austin
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3/2/22
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"Fine-Grained Explanations Using Markov Logic"
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Deepak Venugopal - Associate Professor of Computer Science, The University of Memphis
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3/16/22
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"Discovering Bias"
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David Danks - Professor of Data Science & Philosophy, UC-San Diego Affiliate Faculty,
Department of Computer Science & Engineering, UC-San Diego
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3/23/22
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“Bias Preservation in Fair Machine Learning”
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Brent Mittelstadt - Senior Research Fellow & British Academy Postdoctoral Fellow,
Oxford Internet Institute Turing Fellow, Alan Turing Institute Member, UK National
Statistician’s Data Ethics Advisory Committee
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3/30/22
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"Explanations in Whose Interest"
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Salon Barocas - Principal Researcher, Microsoft Research (NYC lab) Adjunct Assistant
Professor, Department of Information Science, Cornell University Faculty Associate,
Berkman Klein Center for Internet & Society, Harvard University
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4/6/22
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“Equality and Equity in Product Development”
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Tulsee Doshi - Google Head of Product, Responsible AI & ML Fairness
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4/13/22
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Ethics in the Metaverse
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Michael Brent - Responsible AI Expert, Boston Consulting Group
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4/20/22
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“Diversity in Sociotechnical Machine Learning Systems”
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Sina Fazelpour - Assistant Professor of Philosophy & Computer Science, Northeastern
University Fellow, World Economic Forum’s Global Future Council on Data Policy
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For students interested in taking the course, Professor Gray indicates that for coursework he will have students participate in annotated readings using Perusall, lead discussion for one or two classes, make a small presentation at the end of term, and a total of 20 pages of coursework to be done in consultation with him. So, for instance, a student might write three 7-page papers, instead of a single 20-page term paper. Students can also do a project combining their home field with the topic of the course provided that it is something that he can assess (possibly in consultation with other faculty).
For more details about the seminar, please click here.