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DTSTAMP:20261007T121735
DTSTART;TZID=America/Detroit:20261105T160000
DTEND;TZID=America/Detroit:20261105T173000
SUMMARY:Lecture / Discussion:DISCO Network Presents - Is AI Inevitable? Insight from Hypecel vs. Technoskepticist Perspectives
DESCRIPTION:Stories about artificial intelligence often imagine the future as inevitable: AI will transform our jobs\, reshape our relationships\, and increasingly make decisions once left to people. But what happens if we refuse to treat that future as already decided? This panel will discuss two contrasting personas for thinking about generative AI: “hypecels\,” who embrace AI’s promises so enthusiastically that technological change can appear unstoppable\, and “technoskepticists\,”who question the larger social\, political\, and cultural interest AI serves. Ultimately\, we aim to think critically about AI not simply as a collection of powerful new tools\, but as part of a much larger struggle over who gets to imagine\, build\, and control the future.\n\nThis event is open to the public\, and we encourage all interested faculty\, graduate students\, and undergraduate students to attend.\n\nFree sandwiches from Potbelly will be provided to the first 100 attendees.\n\nA corresponding opportunity for undergraduate and graduate students to enjoy a free networking lunch with the panelists will be available. Interested students may register for this session using the same form as the main event.\n\nAdvance registration is recommended:\n\nRegister to attend in-person: https://sessions.studentlife.umich.edu/track/event/22871\n\nRegister to attend on Zoom: https://umich.zoom.us/webinar/register/WN_V1IsoIFFQ5K6fdVIS00FyA\n\nThis event will be recorded. A full recording will be uploaded to the DISCO Network YouTube channel within approximately one week of the event.\n\nMeet the Panelists:\n\nNina-Simone Edwards is the Technology and Research Librarian at Washington and Lee University School of Law. Her research examines privacy\, technology governance\, and information justice\, with particular attention to how race\, vulnerability\, and digital access shape experiences of surveillance and cybersecurity harms. She recently completed both a postdoctoral fellowship at Georgetown Law's Institute for Technology Law & Policy\, where she worked on the Redesigning the Governance Stack Project\, and a Master's in Library and Information Science from The Catholic University of America. She received her J.D. from Georgetown University Law Center.\n\nNgozi Harrison is a Ph.D. Student at the University of California\, Los Angeles\, in Information Studies\, whose research primarily investigates the relationship between machine learning\, quantitative and computational methods\, and society. His work critiques algorithmic culture and computational reason and sits at the intersection of Black Studies\, Critical Quantitative and Computational Methods\, and Critical Information Studies. He is currently working on his dissertation proposal\, which critically examines the underlying values\, norms\, and assumptions of machine learning practice to develop new frameworks for liberatory technical practice and justice-oriented technologies.\n\nDJ is an interdisciplinary scholar of race\, technology\, and learning and an Assistant Professor of Computing at Chicago State University. She particularly examines how and if researchers\, educators\, and technologists might use and create technologies toward liberatory learning and living. DJ (Stephanie T. Jones) earned her Ph.D. in Computer Science and Learning Sciences and an M.S. in Computer Science from Northwestern University. She holds a B.S. in Computer Engineering and a B.S. in Electrical Engineering from Villanova University. \n\nMeet the Moderator:\n\nRayvon Fouché holds a joint appointment as Professor of Communication Studies\, School of Communication\, and Professor of Journalism\, Medill School of Journalism\, Media\, and Integrative Marketing Communications\, and is currently Associate Dean for Graduate Education in the School of Communication. His major publications include Black Inventors in the Age of Segregation (Johns Hopkins University Press\, 2003)\, Appropriating Technology: Vernacular Science and Social Power (University of Minnesota Press\, 2004)\, Technology Studies (Sage Publications\, 2008)\, the 4th Edition of the Handbook of Science & Technology Studies (MIT Press\, 2016)\, Game Changer: The Technoscientific Revolution in Sports (Johns Hopkins University Press\, 2017)\, and Technoskepticism: Between Possibility and Refusal (Stanford University Press\, 2025). He is currently the Editor-in-Chief for the Oxford Research Encyclopedia of Science\, Technology\, and Society.\n\nWe want to make our events accessible to all participants. CART captioning services will be provided. If you anticipate needing additional accommodations to participate\, please email Cherice Chan at chericec@umich.edu.
UID:149370-21906283@events.umich.edu
URL:https://events.umich.edu/event/149370
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology,Digital Studies,Digital Studies Institute,Artificial Intelligence,Social Justice,Technology,Digital Media,Big Tech,Computational Science,Digital Culture,Digital Cultures
LOCATION:Weiser Hall - 10th Floor
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261008T085913
DTSTART;TZID=America/Detroit:20261105T180000
DTEND;TZID=America/Detroit:20261105T193000
SUMMARY:Lecture / Discussion:Defining the Discipline of Robotics for Excellence and Equity in an AI-driven World
DESCRIPTION:Start with a simple question: What is the best major for a student to become a roboticist?  In my role leading the creation of the Robotics Undergraduate Major at Michigan\, we tackled this question through the curricular challenge of how to both: 1) educate people to put ideas of the robotics discipline into practice and 2) endow them with the intellectual lens for creating new ideas that extend the frontiers of the robotics discipline -- where mobility and dexterity through humanoid robots are poised to have a transformative impact in our increasingly AI-driven world.\n\nIn this talk\, I will discuss my work to both advance the state of the art in semantic understanding for robotics and prepare students for possible futures where robotics and AI are abundant and ubiquitous.  I will present the design\, launch\, and innovations for the Michigan Robotics Major for undergraduates\, as robotics emerges into its own as a true academic discipline.  I will describe highlights from research in semantic 3D perception for mobile manipulation robots (including humanoids) to understand the form and function (or affordances) for a diversity of objects in common environments.  I will also share insights from my role as Program Chair of the AAAI-26 Conference (and its roughly 30\,000 submissions) and how this role\, and my experiences with Amazon AWS Machine Learning University\, has reshaped my perspective on AI for teaching at the university level.  Finally\, I will discuss new efforts in my course this semester to formulate \"mutation assessments\" that gauge student understanding of agentically coded projects.
UID:152086-21912972@events.umich.edu
URL:https://events.umich.edu/event/152086
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Robotics,Lecture,Artificial Intelligence,Genai,Free,College Of Engineering,Academic Technology At Michigan
LOCATION:Dana Building - 1040
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261008T104920
DTSTART;TZID=America/Detroit:20261119T180000
DTEND;TZID=America/Detroit:20261119T193000
SUMMARY:Lecture / Discussion:Can AI Reason Through Zoning? How AI Navigates Complex Rules
DESCRIPTION:More information coming soon
UID:153466-21915890@events.umich.edu
URL:https://events.umich.edu/event/153466
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Genai,Lecture,Free,Artificial Intelligence,Ai Literacy,Academic Technology At Michigan
LOCATION:Dana Building - Room 1040
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261008T104843
DTSTART;TZID=America/Detroit:20261210T180000
DTEND;TZID=America/Detroit:20261210T193000
SUMMARY:Lecture / Discussion:How AI Is Helping Doctors Diagnose Brain Tumors Faster
DESCRIPTION:More information coming soon
UID:153467-21915891@events.umich.edu
URL:https://events.umich.edu/event/153467
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Medical School Events,Medical School,Medical Innovation,Lecture,Genai,Free,Academic Technology At Michigan
LOCATION:Dana Building - 1040
CONTACT:
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