ESC Zoom: An IRL Mixer
The Center for Ethics, Society, and Computing (ESC) Invites ESC faculty and student researchers and their UM ESC-Curious Guest to Bløm Meadworks (https://www.drinkblom.com) 100 S. 4th Avenue, A2 48104 (map) 5:00 - 7:00 pm, Tuesday, November 16 Heated Patio, Food, and Drinks Please RSVP by Sunday, November 14 Please fill out the RSVP once for yourself […]
ESC Watch Party: Hackers
HOW TO PARTICIPATE This event is restricted to participants at the University of Michigan, and will be held on Zoom: https://umich.zoom.us/j/96950614303 DETAILS When an evil corporate programmer frames a group of teenaged hackers for his own plot, they must use their coding skills to avoid arrest and prevent a computer virus from capsizing a fleet of […]
Virginia Dignum: Responsible AI – From Principles to Action
HOW TO PARTICIPATE This event will be held on Zoom: https://umich.zoom.us/j/94087281082 TITLE Responsible AI: From Principles to Action SPEAKER Virginia Dignum, Professor, Wallenberg Chair in Responsible AI, Umeå University ABSTRACT Every day we see news about advances and the societal impact of AI. AI is changing the way we work, live and solve challenges but […]
Cultivating socially responsible engineers: The role of universities and public policy
Betty Ford Auditorium 1110 Weill Hall 735 S. State St., Ann Arbor, MI, United StatesHOW TO PARTICIPATE In-person attendance is limited to current University of Michigan students, faculty, and staff. All in-person attendees must register, and will be required to complete the ResponsiBlue screening before entering the building. Masks are required. The event will also be livestreamed for those outside of the University, or University members who choose not […]
Symposium: Social Media Influencers and the New Political Economy in South Asia and Africa
Room 2435, North Quad 105 State Street, Ann Arbor, MI, United StatesHOW TO ATTEND This event will be held from 9:00am - 5:00pm EST on April 7 and April 8. Symposium participants may attend either in-person (Room 2435, North Quad) or virtually; registration is required. For additional details (including a list of confirmed speakers) and to register: https://joyojeet.people.si.umich.edu/influencers.htm. ABOUT Social media influencer activity on platforms such […]
ESC Curious? A Faculty & Graduate Student Mixer
Join us for conversation, appetizers, and drinks: Wednesday, May 25 5:00 - 7:30 PM York Yard (outdoors) 1928 Packard Street, A2 48104 (map) UM Faculty and Graduate Students RSVP by Monday, May 23 ESC is generously supported by the School of Information; the Center for Political Studies at the Institute for Social Research; and the Department […]
Lecture: Taming Corporate Power in the 21st Century
R0240, Ross School of Business, Lower Level 701 Tappan Ave, Ann Arbor, MI, United StatesZoom information located here: https://www.icos.umich.edu/node/809 Abstract: "There is broad consensus in the US that monopolistic corporations have grown too powerful and that we need to revive antitrust to take on the “curse of bigness.” But information and communication technologies have fundamentally altered the operations of our economy in ways that undermine the basic […]
ESC Mixer: Take Back the $wag
Ann Arbor Distilling 220 Felch St, Ann Arbor, Michigan, United StatesWe're hosting a swag drive! ESC $WAG is an ongoing art project that examines the ethics of corporate tech swag, which is often cheaply made using unethical labor practices and frequently ends up in the trash. We invite ESC-affiliated faculty and student researchers to contribute to the ESC $WAG project by donating any corporate tech […]
Datatopia: The Future of Scientific Discovery Through a Data Lens
How to Participate: Colloquium Public Lectures: Sept 29, 12:30 PM – 5:15 PM Wolverine Room, Michigan Union No registration is required for Colloquium Public Lectures. Faculty Conversation Laboratory: Sept 30, 9:00 AM – 2:00 PM Clark Maps Library, 2nd Floor, Hatcher Graduate Library Building Register for the Conversation Library. The Conversation Laboratory is […]
Algorithmic Reparation Workshop
ABOUT: Machine learning has an inequality problem that is now widespread and well known. The field of “fair machine learning” (FML) has emerged in response, positing mathematical correctives to account for and remove direct and proxy indicators of protected class attributes–race, class, gender, disability etc–within machine learning models. Although FML predominates and continues to […]