BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UM//UM*Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Detroit
TZURL:http://tzurl.org/zoneinfo/America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250220T162527
DTSTART;TZID=America/Detroit:20250224T160000
DTEND;TZID=America/Detroit:20250224T173000
SUMMARY:Lecture / Discussion:STeMS Speaker Series | Emotion AI in the Future of Work
DESCRIPTION:Emotion AI\, increasingly used in mundane (e.g.\, entertainment) to high-stakes (e.g.\, education\, healthcare\, workplace) contexts\, refers to technologies that claim to algorithmically recognize\, detect\, predict\, and infer emotions\, emotional states\, moods\, and even mental health status using a wide range of input data. While emotion AI is critiqued for associated scientific validity\, bias\, and surveillance concerns\, it continues to be patented\, developed\, and used without public debate\, resistance\, or regulation.\n\nIn this talk\, I highlight some of my research group's work focusing on the workplace to discuss: 1) how emotion AI technologies are conceived of by their inventors and what values are embedded in their design\, and 2) the perspectives of the humans who produce the data that make emotion AI possible\, and whose experiences are shaped by these technologies: data subjects. I argue that emotion AI is not just technical\, it is sociotechnical\, political\, and enacts/shifts power. I show how emotion AI could harm the very conditions its advocates promise it will improve (e.g.\, worker wellbeing\, work conditions)\, rendering it a problematic choice for addressing structural challenges workers face in the workplace. I conclude that even with technical reforms (e.g.\, reducing biases\, improving accuracy) many emotion AI-inflicted harms (e.g.\, emotional labor\, privacy harms) would persist.\n\nNazanin Andalibi is an assistant professor in the School of Information at the University of Michigan and is an affiliate faculty member at the university’s Digital Studies Institute\; Center for Ethics\, Society\, and Computing\; and Center for Social Media Responsibility. As a social computing and human-computer interaction (HCI) scholar\, her research examines how marginality is experienced\, enacted\, facilitated\, or disrupted in and as mediated through sociotechnical systems such as artificial intelligence and social media. For example\, a central theme of her research examines the privacy\, ethical\, justice\, and policy implications of emotion AI technologies in high-stakes contexts including the workplace\, job interviews\, social media\, and health care.
UID:132816-21871910@events.umich.edu
URL:https://events.umich.edu/event/132816
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Information and Technology
LOCATION:Tisch Hall - 1014
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250223T102334
DTSTART;TZID=America/Detroit:20250224T160000
DTEND;TZID=America/Detroit:20250224T170000
SUMMARY:Workshop / Seminar:Student combinatorics: Maximal chains in the non-crossing lattice
DESCRIPTION:Non-crossing partitions of a set form a collection of objects that are counted by the Catalan numbers. They have natural analogues for finite Coxeter groups and enjoy remarkable enumerative properties\, many of which are only understood in a case-by-case fashion. In this talk\, we will see an elementary but uniform approach to enumerating the maximal chains in the non-crossing lattice for a general Coxeter group.
UID:133059-21872327@events.umich.edu
URL:https://events.umich.edu/event/133059
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 3866
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250126T160029
DTSTART;TZID=America/Detroit:20250224T160000
DTEND;TZID=America/Detroit:20250224T170000
SUMMARY:Lecture / Discussion:Student Model Theory Seminar
DESCRIPTION:In the Winter 2025 term\, the student logic seminar will be a Model Theory reading seminar. Details can be found here: https://shorturl.at/sldTZ
UID:131804-21869255@events.umich.edu
URL:https://events.umich.edu/event/131804
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students,Mathematics,seminar,Talk,Undergraduate Students
LOCATION:East Hall - 4088
CONTACT:
END:VEVENT
END:VCALENDAR