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END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20360309T030000 RDATE:20361102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20370308T030000 RDATE:20371101T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:1c3ac152eaa36609519aee24fc8874ca CATEGORIES:Events CREATED:20201222T090829 SUMMARY:Interdisciplinary Thinkpiece Panel I with Michele Gilman, Katina Michael, and Tae Wan Kim LOCATION:via Zoom DESCRIPTION:
Check here for the video recording of the talk< /a>
Moderator:&nb sp;Ellen P. Goodman (Law, Rutgers Institute for Information & Policy Law)
Michele Gilman, Venable Professor of Law at U of Baltimore, dire ctor of the Saul Ewing Civil Advocacy Clinic
As a result of automated decision-making systems, low-income p eople can find themselves excluded from mainstream opportunities, such as j obs, education, and housing; targeted for predatory services and products; and surveilled by systems in their neighborhoods, workplaces, and schools. These dynamics impede people's economic security and potential for social m obility, and yet the law provides scant recourse. Thus, we must consider ho w to challenge opaque and unfair algorithmic systems as part of an economic justice agenda.
Michele Gilman is the Venable Professor of Law at the University of Baltimore School of Law. Professor Gi lman teaches in the Civil Advocacy Clinic, where she supervises students re presenting low-income individuals in a wide range of litigation and law ref orm matters. She also teaches evidence and federal administrative law. Prof essor Gilman writes extensively about privacy, poverty, and social welfare issues, and her articles have appeared in journals including the California Law Review, the Vanderbilt Law Review, and the Washington University Law R eview. In 2019-2020, she was a Faculty Fellow at Data & Society, where she researched the intersection of privacy law, data-centric technologies, and low-income communities.
Optional Reading: " Poverty Lawgorithms"
Katina Michael, Professor in the School fo r the Future of Innovation in Society and School of Computing, Informatics and Decision Systems Engineering at Arizona State
Technology is edging ever closer to interfacing with the human or even brazenly replacing the human function. As we seek dreams of automation through artificial intelligence, the question centers on whether we are en gaged in a process of deep techno-utopian distraction, or we are in fact on the right path to addressing our critical global needs. What are the chall enges? How will we ensure a sustainable future?
Katina M ichael is a professor at Arizona State University, holding a joint appointment in the School for the Future of Innovation in Society and School of Computing, Informatics and Decisions Systems Engineering. She is also the director of the Society Policy Engineering Collective (SPEC) and the Founding Editor-in-Chief of the IEEE Transactions on Technology and Soc iety. Katina is a senior member of the IEEE and a Public Interest Technolog y advocate who studies the social implications of technology.
Opt ional Reading: "Big Data: New Opportunities and New Challenges a>"
Tae Wan Kim, Assoc iate Professor of Business Ethics and Xerox Junior Chair, Carnegie Mellon U niversity
AI is an imitation game. “Wh at is a good AI system?” Is the same question as “What is a good human bein g?” In this talk, engaging with Ian McEwan’s Machines Like Me, I i nvite the audience to rethink what it means to be human in the age of AI.&n bsp;
Tae Wan Kim is Associate Professor o f Business Ethics and Xerox Junior Faculty Chair at Carnegie Mellon’s Teppe r School of Business. Kim is a faculty member of the Block Center for Techn ology and Society at Heinz College, and CyLab at Carnegie Mellon’s School o f Computer Science. Prior to joining Tepper's faculty in 2012, Kim did his PHD in the Department of Legal Studies and Business Ethics at The Wharton S chool, University of Pennsylvania. Kim is on the editorial boards of Bu siness Ethics Quarterly, Journal of Business Ethics, and Business & Society Review.
Optional Reading: "< a href="http://public.tepper.cmu.edu/jnh/groundingVA3.pdf" target="_blank" rel="noopener">Taking Principles Seriously: A Hybrid Approach to Value Alig nment"