Fwd: Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar

[Artur Dubrawski]

This talk may be of broad interest to many of us.

Artur

---------- Forwarded message ---------
From: Becky Shock <beckys at andrew.cmu.edu>
Date: Fri, Aug 30, 2024 at 9:09 AM
Subject: Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar
To: <heinz-all-faculty at lists.andrew.cmu.edu>, <
heinz-phd at lists.andrew.cmu.edu>, Holly Wiberg <hwiberg at andrew.cmu.edu>,
Anna Mayo <atmayo at andrew.cmu.edu>, Evelyn Xiaoyue Gong <
exiaoyue at andrew.cmu.edu>, Manasvini Singh <manasvis at andrew.cmu.edu>, Tom
Mitchell <mitchell at andrew.cmu.edu>, Christophe Combemale <
ccombema at andrew.cmu.edu>, Kait Pendrak <kpendrak at andrew.cmu.edu>, Brittany
Calderon <bcaldero at andrew.cmu.edu>, <mrfrank at pitt.edu>, Steven Wray <
swray2 at andrew.cmu.edu>, Becky Shock <beckys at andrew.cmu.edu>


Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar



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Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar
Monday Sep 9, 2024 ⋅ 12:30pm – 1:40pm (Eastern Time - New York)

Please join us on *Monday, September 9th* from *12:30 PM – 01:40 PM*
in *Hamburg
Hall, Room 1002* as part of the Monday Faculty Research Seminar (MFRS).
Lunch will be provided during the seminar.


*Presenter: *Neil Thompson is the Director of the FutureTech research
project at MIT’s Computer Science and Artificial Intelligence Lab and a
Principal Investigator at MIT’s Initiative on the Digital Economy.

‍Previously, he was an Assistant Professor of Innovation and Strategy at
the MIT Sloan School of Management, where he co-directed the Experimental
Innovation Lab (X-Lab), and a Visiting Professor at the Laboratory for
Innovation Science at Harvard. He has advised businesses and government on
the future of Moore’s Law, has been on National Academies panels on
transformational technologies and scientific reliability, and is part of
the Council on Competitiveness’ National Commission on Innovation &
Competitiveness Frontiers.

He has a PhD in Business and Public Policy from Berkeley, where he also did
Masters degrees in Computer Science and Statistics. He also has a masters
in Economics from the London School of Economics, and undergraduate degrees
in Physics and International Development. Prior to academia, He worked at
organizations such as Lawrence Livermore National Laboratory, Bain and
Company, the United Nations, the World Bank, and the Canadian Parliament.


*Title: *Beyond AI Exposure: Which Tasks are Cost-Effective to Automate?


*Abstract: *The faster AI automation spreads through the economy, the more
profound its potential impacts, both positive (improved productivity) and
negative (worker displacement). The previous literature on “AI Exposure”
cannot predict this pace of automation since it attempts to measure an
overall potential for AI to affect an area, not the technical feasibility
and economic attractiveness of building such systems. In this article, we
present a new type of AI task automation model that is end-to-end,
estimating: the level of technical performance needed to do a task, the
characteristics of an AI system capable of that performance, and the
economic choice of whether to build and deploy such a system. The result is
a first estimate of which tasks are technically feasible and economically
attractive to automate - and which are not.  In this talk, I will present
our results using this model for computer vision and show how it differs
dramatically from exposure models.  I will also discuss our on-going work
to extend this analysis to large language models.


The *schedule to reserve* your time to meet with Neil Thompson is now open*:
**Seminar Scheduler*
<https://www.google.com/url?q=https%3A%2F%2Fseminartracker.tepper.cmu.edu%2FPrivateSeminarSchedule%3FSeminarId%3D936&sa=D&ust=1725454020000000&usg=AOvVaw28Yv01Kx3ALh1Vol89bq5->



Please reach out with any questions to the host: Professors Holly
Wiberg,  *hwiberg at andrew.cmu.edu
<hwiberg at andrew.cmu.edu>* and Anna Mayo, atmayo at andrew.cmu.edu


LocationHBH 1002
View map <https://www.google.com/maps/search/HBH+1002?hl=en>
Organizer
Heinz Events <heinz-events at andrew.cmu.edu>
heinz-events at andrew.cmu.edu
Guests
_______________________________________________
Heinz-all-faculty mailing list
Heinz-all-faculty at lists.andrew.cmu.edu
https://lists.andrew.cmu.edu/mailman/listinfo/heinz-all-faculty
_______________________________________________
Heinz-affiliate-faculty mailing list
Heinz-affiliate-faculty at lists.andrew.cmu.edu
https://lists.andrew.cmu.edu/mailman/listinfo/heinz-affiliate-faculty
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