[AI Seminar] Online AI Seminar on Nov 17 (Zoom) -- Hany Farid -- The Accuracy, Fairness, and Limits of Predicting Recidivism -- AI seminar is sponsored by Fortive

[Aayush Bansal]

Hany Farid (Berkeley) will be giving an online seminar on "The Accuracy,
Fairness, and Limits of Predicting Recidivism" from 12:00 noon - 01:00 PM
ET on Nov 17.

*Zoom Link*:
https://cmu.zoom.us/j/97150006469?pwd=TjVsTXpQTXgrWWVza1pFUmYreXVxdz09

CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title: *The Accuracy, Fairness, and Limits of Predicting Recidivism

*Abstract: *Predictive algorithms are commonly used in the criminal justice
system. These predictions are used in pretrial, parole, and sentencing
decisions. Proponents of these systems argue that big data and advanced
machine learning make these predictions more accurate and less biased
than humans. Opponents, however, argue that predictive algorithms may lead
to further bias in the criminal justice system. I will discuss an in-depth
analysis of one widely used commercial predictive algorithm to determine
its appropriateness for use in our courts.


*Bio:* Hany Farid is a Professor at the University of California, Berkeley
with a joint appointment in Electrical Engineering & Computer Sciences and
the School of Information. His research focuses on digital forensics, image
analysis, and human perception. He received his undergraduate degree in
Computer Science and Applied Mathematics from the University of Rochester
in 1989, his M.S. in Computer Science from SUNY Albany, and his Ph.D. in
Computer Science from the University of Pennsylvania in 1997. Following a
two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT,
he joined the faculty at Dartmouth College in 1999 where he remained until
2019. He is the recipient of an Alfred P. Sloan Fellowship, a John Simon
Guggenheim Fellowship, and is a Fellow of the National Academy of Inventors.

To learn more about the seminar series, please visit the website:
http://www.cs.cmu.edu/~aiseminar/


-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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