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DTSTART;TZID=UTC:20210212T120000
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SUMMARY:Meredith Whittaker Keynote: "AI and Social Control"
DESCRIPTION:February 12\, 2021\, 12 pm EST\nMeredith Whittaker Keynote:\n“AI and Social Control”\nModerator: David Pennock (Director\, DIMACS) \n\n\n\n\n\n\nRegistration\n \n\nMeredith Whittaker is the co-founder and co-director\, AI Now Institute\, Minderoo Research Professor at New York University\, Founder of Google’s Open Research GroupThis talk examines the limits of AI technologies\, and their insistence on enforcing normative categories that necessarily exclude “that which doesn’t fit.” It then goes on to review the political economy driving the AI industry\, AI’s recent history and capacity for social control\, and how movements for justice must go beyond corporate-sponsored “ethics” and a fascination with technical mechanisms and adopt more militant tactics that contend with concentrated power\, and the capacity of AI to exacerbate inequality and facilitate minority rule.\n\nMeredith Whittaker’s research and advocacy focuses on the social implications of artificial intelligence and the tech industry responsible for it. Prior to NYU\, she worked at Google for over a decade\, where she led product and engineering teams\, and co-founded M-Lab\, a globally distributed network measurement platform that now provides the world’s largest source of open data on internet performance. As a long-time tech worker\, she helped lead labor organizing at Google\, driven by the belief that worker power and collective action are necessary to ensure meaningful tech accountability in the context of concentrated industrial power. She has advised the White House\, the FCC\, the City of New York\, the European Parliament\, and many other governments and civil society organizations on artificial intelligence\, internet policy\, measurement\, privacy\, and security. \nOptional Reading: AI Now Institute’s report “Disability\, Bias\, and AI“
URL:https://sites.rutgers.edu/critical-ai/event/keynote-talk-with-meredith-whittaker/
LOCATION:Zoom
CATEGORIES:Public Events
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DTSTART;TZID=UTC:20210219T110000
DTEND;TZID=UTC:20210219T123000
DTSTAMP:20260823T030817
CREATED:20210121T233431Z
LAST-MODIFIED:20210121T234113Z
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SUMMARY:Thinkpiece Panel I: Michele Gilman\, Katina Michael\, Tae Wan Kim
DESCRIPTION:February 19\, 2021\, 11 am EST\nThinkpiece Panel I\n\nModerator: Ellen P. Goodman (Law\, Rutgers Institute for Information & Policy Law)\n\nRegistration\nAn interdisciplinary conversation with three leading AI specialists \n \n\nMichele Gilman\, Venable Professor of Law at U of Baltimore\, director of the Saul Ewing Civil Advocacy Clinic\n\n“Poverty Lawgorithms: The Economic Injustices of Automated Decision-Making”\nAs a result of automated decision-making systems\, low-income people can find themselves excluded from mainstream opportunities\, such as jobs\, 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 mobility\, and yet the law provides scant recourse. Thus\, we must consider how to challenge opaque and unfair algorithmic systems as part of an economic justice agenda. \nMichele Gilman is the Venable Professor of Law at the University of Baltimore School of Law. Professor Gilman teaches in the Civil Advocacy Clinic\, where she supervises students representing low-income individuals in a wide range of litigation and law reform matters. She also teaches evidence and federal administrative law. Professor 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 Review. 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. \nOptional Reading: “Poverty Lawgorithms“ \n  \n\nKatina Michael\, Professor in the School for the Future of Innovation in Society and School of Computing\, Informatics and Decision Systems Engineering at Arizona State\n\n“Misdirected Dreams? Trusting in AI: the hopes\, the needs\, and the challenges.”\nTechnology 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 engaged 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 challenges? How will we ensure a sustainable future? \nKatina Michael 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 Society. Katina is a senior member of the IEEE and a Public Interest Technology advocate who studies the social implications of technology. \nOptional Reading: “Big Data: New Opportunities and New Challenges” \n \n  \n  \n\nTae Wan Kim\, Associate Professor of Business Ethics and Xerox Junior Chair\, Carnegie Mellon University\n\n“Flawed Like Us and the Starry Moral Law: A Critical Perspective to Artificial Intelligence.”\n AI is an imitation game. “What is a good AI system?” Is the same question as “What is a good human being?” In this talk\, engaging with Ian McEwan’s Machines Like Me\, I invite the audience to rethink what it means to be human in the age of AI.  \n  \nTae Wan Kim is Associate Professor of Business Ethics and Xerox Junior Faculty Chair at Carnegie Mellon’s Tepper School of Business. Kim is a faculty member of the Block Center for Technology and Society at Heinz College\, and CyLab at Carnegie Mellon’s School of 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 School\, University of Pennsylvania. Kim is on the editorial boards of Business Ethics Quarterly\, Journal of Business Ethics\, and Business & Society Review. \nOptional Reading: “Taking Principles Seriously: A Hybrid Approach to Value Alignment“
URL:https://sites.rutgers.edu/critical-ai/event/thinkpiece-panel-i-michele-gilman-katina-michael-tae-wan-kim/
LOCATION:Zoom
CATEGORIES:Public Events
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DTSTART;TZID=UTC:20210226T120000
DTEND;TZID=UTC:20210226T133000
DTSTAMP:20260823T030817
CREATED:20210121T234030Z
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SUMMARY:Keynote Interview on AI Ethics and Global Contexts with Sabelo Mhlambi
DESCRIPTION:February 26\, 2021\, 12 pm EST\nKeynote Interview on AI Ethics and Global Contexts with Sabelo Mhlambi\n\nModerator: Mukti Mangharam (Associate Professor\, English)\n\nSabelo Mhlambi (Carr Center for Human Rights Policy; Berkman Klein Center for Internet & Society) in a Keynote Conversation with Alex Guerrero (Philosophy\, Rutgers) and Matthew Stone (Computer Science\, Rutgers)\nRegistration\n \n\nSabelo Mhlambi\, Technology and Human Rights Fellow\, Harvard Kennedy School Carr Center for Human Rights Policy\, Fellow\, Harvard Berkman Klein Center for Internet & Society\n\nSabelo Mhlambi is a computer scientist and researcher whose work focuses on the ethical implications of technology in the developing world\, particularly in Sub-Saharan Africa\, along with the creation of tools to make Artificial Intelligence more accessible and inclusive to underrepresented communities. His research centers on examining the risks and opportunities of AI in the developing world\, and in the use of indigenous ethical models as a framework for creating a more humane and equitable internet. His current technical projects include the creation of Natural Language Processing models for African languages\, alternative design of web-platforms for decentralizing data and an open-source library for offline networks. \nOptional Reading: “From Rationality to Relationality: Ubuntu as an Ethical and Human Rights Framework for Artificial Intelligence Governance”
URL:https://sites.rutgers.edu/critical-ai/event/keynote-interview-on-ai-ethics-and-global-contexts-with-sabelo-mhlambi/
LOCATION:Zoom
CATEGORIES:Public Events
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