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June 9, 2023
On this webcast, panelists from Gibson Dunn and Deloitte present a complete dialogue of New York Metropolis’s Native Regulation 144, a groundbreaking legislation that regulates the usage of AI instruments in hiring and promotion. The legislation will probably be enforced starting on July 5, 2023. The webcast delves into the discover and bias auditing necessities of Native Regulation 144 in addition to the implications of the Division of Client and Employee Safety’s ultimate guidelines implementing it. The panelists additionally discover open questions that stay and talk about sensible approaches for conducting an evaluation of an automatic resolution device or system. Moreover, the panelists talk about tendencies they’re observing from the EEOC and in proposed legal guidelines on the state and native stage that target automated resolution instruments.
View Slides (PDF)
PANELISTS:
Danielle J. Moss is a accomplice within the New York workplace of Gibson, Dunn & Crutcher and a member of the agency’s Labor and Employment and Litigation Apply Teams. She is acknowledged for representing employers throughout a variety of issues, together with high-stakes discrimination, harassment and retaliation claims, in addition to wage and hour and restrictive covenant points. She has additionally led quite a few extremely delicate inner investigations.
Emily Maxim Lamm is an affiliate within the Washington, D.C. workplace of Gibson, Dunn & Crutcher. Ms. Lamm’s follow focuses on employment litigation, counseling, and investigations. Ms. Lamm has explicit experience counseling on the authorized and coverage developments surrounding synthetic intelligence and automation throughout the employment lifecycle. She has additionally represented expertise firms involving allegations of discrimination associated to the usage of algorithms and AI. Ms. Lamm steadily speaks and writes on AI points in employment and holds a program certificates from Wharton On-line in Synthetic Intelligence for Determination Making.
Ryan Hittner is a Managing Director at Deloitte. With over 17 years of threat administration expertise associated to fashions and superior algorithms, Ryan leads the AI & Algorithmic Assurance follow which focuses on serving to companies responsibly construct AI belief.
Morgan Dove is a Senior Supervisor at Deloitte. Morgan works throughout the AI & Algorithmic Assurance follow, with over 8 years of expertise specializing in strategic transformations, mannequin validation, and quantitative threat administration.
MCLE CREDIT INFORMATION:
This program has been authorised for credit score in accordance with the necessities of the New York State Persevering with Authorized Training Board for a most of 1.0 credit score hour, of which 1.0 credit score hour could also be utilized towards the areas {of professional} follow requirement. This course is authorised for transitional/non-transitional credit score.
Attorneys looking for New York credit score should acquire an Affirmation Type previous to watching the archived model of this webcast. Please contact CLE@gibsondunn.com to request the MCLE type.
Gibson, Dunn & Crutcher LLP certifies that this exercise has been authorised for MCLE credit score by the State Bar of California within the quantity of 1.0 hour.
California attorneys could declare “self-study” credit score for viewing the archived model of this webcast. No certificates of attendance is required for California “self-study” credit score.
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