Artificial Intelligence & Employment Law:
"People Analytics" & "Big Data" In Personnel Decisions

Data Analytics – the science of mining raw data to make predictions - is listed among the “Top 5 HR Trends in 2016 and Beyond” by Forbes online.  Companies are increasingly using predictive algorithms to inform employment decisions and are creating new “People Analytics” positions to analyze big data for human resource applications. Proponents argue analytics enhance business and diversity by helping employers make better decisions and facilitating hiring of otherwise difficult to place individuals because of, say, prior conviction records. Critics claim reliance on “big data” promotes labor discrimination and affects civil rights. Join us to discuss the legal considerations in the selection and use of data to help companies move forward with new technologies consistently with labor policy and laws.

Welcome
Prof. Samuel Estreicher, Faculty Director, NYU Law Center for Labor & Employment Law

Keynote Speaker
Hon. Jenny R. Yang, Chair, U.S. Equal Employment Opportunity Commission (EEOC)

What is Predictive Analytics? Application of Analytics in the Hiring of Ex-Convicts
Dr. Zev Eigen, Global Director of Data Analytics, Littler Mendelson P.C. and founder of Cherry Tree Data Science (formerly of Northwestern University School of Law) 

 Data-Driven Discrimination?
Prof. Pauline Kim, Washington University School of Law

Why and How Companies are Using Big Data?

Audience Q & A

This event is seeking approval for New York State CLE credit. If approved, it will be appropriate for both experienced and newly admitted attorneys. NYU School of Law is committed to the availability of quality affordable continuing legal education programs to its alumni community and members of the bar-at-large. All financial hardship requests for waived or reduced fees for NYU School of Law-sponsored CLE programs must be made in writing and contain a brief statement (no more than one page) of the economic hardship status and recent employment history; and any pertinent financial circumstances that reflect the applicant's financial need. All requests made in accordance with these guidelines shall be kept confidential. Written requests for relief will be reviewed by the individual CLE event's coordinator and the director of professional skills training. Applicants will be informed of a decision in a timely manner in advance of the date on which the program is scheduled.