Generative AI: Labor and Employment Issues
Category: On Demand
Member Price: $192
Non-Member Price: $240
Areas of Law: Labor & Employment
|NJ CLE information: This program has been approved by the Board on Continuing Legal Education of the Supreme Court of New Jersey for 3.3 hours of total CLE credit (Full Credits Available: NJ General: 3.3).
|NY CLE (t&nt):
|NY Professional Practice Transitional: 3.0
|PA Substantive Credit: 2.5
New: No PACLE fee is required for this program. To earn PA CLE credits, a valid PA Bar ID number must be entered into the CLE form provided after attending the program.
- Hon. Ronald J. Hedges (Ret.)
- Former U.S. Magistrate Judge
Ronald J. Hedges LLC, Hackensackis Senior Counsel for Dentons in New York City and a member of the Litigation and Dispute Resolution Practice Group. He has extensive experience in e-discovery and the management of complex civil litigation matters, and has served as a special master, arbitrator and mediator. He also consults on the management and discovery of electronically stored information (ESI).
nAdmitted to practice in New Jersey, New York, Texas and the District of Columbia, and before several federal courts, Judge Hedges is a former United States Magistrate Judge in the United States District Court for the District of New Jersey (1986-2007), where he was the Compliance Judge for the Court Mediation Program, a member of the Lawyers Advisory Committee, and a member of and reporter for the Civil Justice Reform Act Advisory Committee. A member of the Advisory Group of Magistrate Judges from 2001-2005, he has also been a member of the American Law Institute, the American and Federal Bar Associations, and the Historical Society and the Lawyers Advisory Committee of the United States District Court for the District of New Jersey. Judge Hedges has served on the Sedona Conference Judicial Advisory Board; the Sedona Conference Working Group on Protective Orders, Confidentiality, and Public Access; and the Sedona Conference Working Group on Best Practices for Electronic Document Retention & Protection. He has also been a member of the Advisory Board of the Advanced E-Discovery Institute of Georgetown University Law Center. He is a former Fellow at the Center for Information Technology of Princeton University and has been a member of the College of the State Bar of Texas.
nJudge Hedges has been an adjunct professor at Rutgers School of Law-Newark and is a former adjunct professor at Georgetown University Law Center and Seton Hall University School of Law, where he has taught courses on electronic discovery and evidence and mediation skills. He is the author of “Rule 26(f): The Most Important E-Discovery Rule” (New Jersey Law Journal, 5/18/2009) and has authored, edited and co-edited a number of other publications on ESI topics including Discovery of Electronically Stored Information: Surveying the Legal Landscape (BNA, 2007). He is the principal author of the third edition of the Federal Judicial Center’s Pocket Guide for Judges on Discovery of Electronic Information.
nJudge Hedges received his B.A. from the University of Maryland and his J.D. from Georgetown University Law Center.
- Cat Casey, Esq.
- Chief Growth Officer, Reveal Data
- Stephanie D. Gironda, Esq.
- Wilentz Goldman & Spitzer, Woodbridge
- Jared Jaskot, Esq.
- Jaskot.Law, Baltimore
- Marissa Moran
- NYC College of Technology, CUNY, Brooklynis a Professor of Law and Paralegal Studies at New York City College of Technology, CUNY, in Brooklyn, New York.
nProfessor Moran received her law degree from Brooklyn Law School.
- Robert T. Szyba, Esq.
- Seyfarth Shaw, New Yorkis a Partner in the Labor & Employment Department of Seyfarth Shaw LLP in New York City, where he defends and counsels employers in a wide range of employment-related issues, including background check and Fair Credit Reporting Act violations, “ban the box” issues, prevailing wage requirements, wage and hour compliance, whistleblower retaliation, family and medical leave compliance and interference/retaliation claims, paid sick leave, and discrimination/harassment. He also advises clients on preventive employment counseling, pre-litigation strategy and litigation avoidance, alternate dispute resolution and mandatory arbitration programs, and employment policies and procedures.
nAdmitted to practice in the state and federal courts of New Jersey and New York, Mr. Szyba serves on the Executive Committee of the Labor & Employment Law Section of the New Jersey State Bar Association. He has been Co-Chair of the Ethics & Professional Responsibility Subcommittee of the American Bar Association Labor & Employment Law Section’s Employment Rights & Responsibilities Committee.
nMr. Szyba has served on the Alumni Advisory Board of the Hofstra Labor & Employment Law Journal and as a member of the Sidney Reitman Employment Law American Inn of Court. He is a former Editor-in-Chief of the New Jersey State Bar Association’s New Jersey Labor & Employment Law Quarterly and has lectured for ICLE, NELA-NJ, the American and New York State Bar Associations, and other organizations.
nMr. Szyba received his undergraduate degree, cum laude, from Berklee College of Music and his J.D., cum laude, from Hofstra University School of Law, where he was Editor-in-Chief of the Hofstra Labor & Employment Law Journal and a member of Hofstra’s Moot Court Association.
- Stephanie Wilson, Esq.
- Reed Smith, LLP, Princeton
Presented in cooperation with the NJSBA Labor and Employment Law Section
Uncharted legal territory. Fast moving technology with a bias. How can you advise your labor and employment clients?
ChatGPT passed the bar exam in March 2023 and the technology keeps developing at a lightning pace. Venture capital-backed programmers are rushing to develop applications and computer programs that will take generative AI to the next level. However, there is much to be concerned about, especially if you are a labor and employment practitioner. Employers will rely more and more on AI to make important employment decisions, but the Equal Employment Opportunity Commission has noted that there is an inherent bias in the algorithms.
Join this seminar to learn about this uncharted legal territory. The presenters will discuss how generative AI works, how it can be helpful to employers and how it can cause employers and decision-makers to engage in unlawful discrimination.
Employers need to proceed with caution with respect to Generative AI in the workplace, and consider implementing or updating internal policies and practices to address the same.
Come and join this fascinating webinar and hear from the legal experts in the field on this cutting-edge topic.