[SIGCIS-Members] CBI Tomash Lecture of Aaron Mendon Plasek on May 5th on History of ML

[Jeffrey Yost]

Dear Colleagues,

We at CBI are delighted to announce this free virtual lecture of CBI Tomash
Fellow Aaron Mendon-Plasek (ABD, History, Columbia University).  We very
much hope you will join us for this CBI event on May 5th (1-2 pm Central;
2-3 E; 11-noon P).  Registration is required and will close several days
prior to the event day (please register now/soon).

Best, Jeff

<http://umn.edu/>
<https://justcode.cbi.umn.edu/>

A CBI Tomash (Virtual) Lecture on the History of Machine Learning
<https://justcode.cbi.umn.edu/home>
Please join CBI on Wednesday, May 5 at 1 p.m. CST as our 2020 - 2021
Tomash Fellow Aaron Mendon-Plasek, History Department, Columbia University
presents his paper *"How 1950s ideas about creativity in machine learning
continue to inform social and political possibility today."*

*This virtual event is free and open to the public but registration is
required. *

Register <https://umn.zoom.us/webinar/register/WN_dyVYwVCJQXiYNpvwZQ5e-A>

*Brief Abstract: *Accounts of early machine learning often center on late
1950s work well-known to artificial intelligence researchers such as
Samuel's checkers-playing program and Rosenblatt's perceptron. However, as
Newell observed retrospectively in 1983, by 1955 machine learning
researchers had already splintered off from what "became the AI community.”
If early machine learning wasn’t artificial intelligence, what was it? This
talk provides an answer. (Full abstract is on the event page on the CBI
Website.)


*Bio*

Aaron Mendon-Plasek is a historian of science and U.S. history and a Ph.D.
candidate at Columbia University. His work examines how schemes of
quantification, including their material, cultural, technical, and
institutional instantiations, have been used to imagine, enact, and justify
social order.
*About the Tomash Fellowship*

Each year the Adelle and Erwin Tomash Graduate Fellowship is awarded to a
standout ABD graduate student for doctoral dissertation research in the
History of Computing, Information, and Culture.
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