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Sessions Information
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January 4, 2019
8:30 am - 10:15 am
Session Type: Section Programs
Session Capacity: N/A
Hotel: Hilton New Orleans Riverside
Room: Camp
Floor: Third Floor
Employers across our economy are
increasingly using new, technologically sophisticated tools to make decisions
about which employees to hire, promote, and fire, as well as decisions about
performance evaluation and pay. Some of these tools draw on unusual data
sources; others use new “big data” methods to mine data for relevant
correlations and inferences. How are legal actors—employers, employees,
judges—supposed to decide whether the actions employers take with the help of
these new tools constitute discrimination? Employment discrimination law is
only beginning to come to grips with this question, which raises fascinating
questions of its own about how best to apply theories such as disparate
treatment and disparate impact to these novel decision-making methods. This
panel will bring together many of the leading scholars in this rapidly-emerging
field from both inside and outside the legal academy to evaluate these
questions. Business meeting at program conclusion.
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Session Speakers
Organization: Cornell Law School
Speaker
Organization: University of Florida Fredric G. Levin College of Law
Speaker
Organization: The University of Texas School of Law
Moderator
Organization: Washington University in St. Louis School of Law
Speaker
Organization: Data & Society Research Institute
Speaker
Organization: Seton Hall University School of Law
Speaker
Organization: Pymetrics
Speaker
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Session Fees
- [4150] Employment Discrimination Law, Co-Sponsored by Labor Relations and Employment Law and Internet Computer Law - Automatic Discrimination: Algorithms, Big Data, and the Law of Employment Decisions: $0.00
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