BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Central Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20240301T183434Z DESCRIPTION:Speaker:\n \nMatt Groh\, Assistant Professor\, Kellogg School o f Management\, Northwestern University\n\nTitle:\n \nDesigning and Evaluat ing Human-AI Collaboration\n\nAbstract:\n \nHow can artificial intelligenc e systems most effectively assist humans in problem solving? This talk wil l offer a framework for addressing this question in high-stakes\, real-wor ld computer vision applications in medicine and misinformation. Specifical ly\, this talk will discuss empirical results from two large-scale digital experiments on the dynamics of physician-machine partnerships in store-an d-forward teledermatology diagnosis and AI assistance in deepfake detectio n. The findings in both experiments reveal that overall increases in task accuracy by humans with AI assistance come with unexpected trade-offs on o ther performance metrics.\n\n\nSpeaker Bio:\nā€‹\nMatt Groh is assistant professor at Northwestern University in the Manage ment and Organizations department at Kellogg School of Management and assi stant professor\, by courtesy\, in the Computer Science department at McCo rmick School of Engineering\, and a core faculty member of Northwestern In stitute on Complex Systems (NICO). His research examines human-AI collabor ation with a focus on deepfake detection\, medical diagnosis\, and empathi c communication. Before joining Northwestern\, Matt worked as a data scien tist at multiple startups\, a non-profit\, the World Bank\, and DARPA and cofounded a startup. Matt has a BA from Middlebury College where he majore d in economics and minored in Arabic and mathematics and an MA and PhD fro m MIT in Media Arts and Sciences.\n\n\nLocation:\n \nIn person: Chambers H all \, 600 Foster Street\, Lower Level\nRemote option: https://northwestern.zoom.us/j/93287512893 \nPasscode: NICO2024\n \nAbout the Speaker Series:\n \nWednesdays@NI CO is a vibrant weekly seminar series focusing broadly on the topics of co mplex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Nor thwestern\, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on fut ure speakers.\n \n DTEND;TZID="Central Standard Time":20240306T130000 DTSTAMP:20240301T183434Z DTSTART;TZID="Central Standard Time":20240306T120000 LAST-MODIFIED:20240301T183434Z LOCATION:In person at Chambers Hall\, or remote via Zoom PRIORITY:5 RECURRENCE-ID;TZID="Central Standard Time":20240306T120000 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Wed@NICO\, Matt Groh\, 3/6 TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000202005935749DA01000000000000000 010000000C542FE758110E148AB21372FB34E3B53 X-ALT-DESC;FMTTYPE=text/html:

Speaker:

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Matt Groh\, Assistant Professor\, Kello gg School of Management\, Northwestern University


Title:

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Designing and Evaluat ing Human-AI Collaboration

Abstract:

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How can artifici al intelligence systems most effectively assist humans in problem solving? This talk will offer a framework for addressing this question in high-sta kes\, real-world computer vision applications in medicine and misinformati on. Specifically\, this talk will discuss empirical results from two large -scale digital experiments on the dynamics of physician-machine partnershi ps in store-and-forward teledermatology diagnosi s and AI assistance in deepfake detection. The findings in both experiment s reveal that overall increases in task accuracy by humans with AI assista nce come with unexpected trade-offs on other performance metrics.

Speaker Bio:

ā€‹

Matt Groh< /a> is assistant professor at Northwestern University in the Management an d Organizations department at Kellogg School of Management and assistant p rofessor\, by courtesy\, in the Computer Science department at McCormick S chool of Engineering\, and a core faculty member of Northwestern Institute on Complex Systems (NICO). His research examines human-AI collaboration w ith a focus on deepfake detection\, medical diagnosis\, and empathic commu nication. Before joining Northwestern\, Matt worked as a data scientist at multiple startups\, a non-profit\, the World Bank\, and DARPA and cofound ed a startup. Matt has a BA from Middlebury College where he majored in ec onomics and minored in Arabic and mathematics and an MA and PhD from MIT i n Media Arts and Sciences.

Location:

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In per son: Chambers Hall \, 600 Foster Street\, Lower Level
Remote option: https://northwestern.zoom.us/j/93287512893

Passcode: NICO2024

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About the Speaker Series:

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Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It bri ngs together attendees ranging from graduate students to senior faculty wh o span all of the schools across Northwestern\, f rom applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO< /a> for information on future speakers.

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