June 9, 2023
In this webcast, panelists from Gibson Dunn and Deloitte provide a comprehensive discussion of New York City’s Local Law 144, a groundbreaking law that regulates the use of AI tools in hiring and promotion. The law will be enforced beginning on July 5, 2023. The webcast delves into the notice and bias auditing requirements of Local Law 144 as well as the implications of the Department of Consumer and Worker Protection’s final rules implementing it. The panelists also explore open questions that remain and discuss practical approaches for conducting an assessment of an automated decision tool or system. Additionally, the panelists discuss trends they are observing from the EEOC and in proposed laws at the state and local level that focus on automated decision tools.
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Danielle J. Moss is a partner in the New York office of Gibson, Dunn & Crutcher and a member of the firm’s Labor and Employment and Litigation Practice Groups. She is recognized for representing employers across a wide range of matters, including high-stakes discrimination, harassment and retaliation claims, as well as wage and hour and restrictive covenant issues. She has also led numerous highly sensitive internal investigations.
Emily Maxim Lamm is an associate in the Washington, D.C. office of Gibson, Dunn & Crutcher. Ms. Lamm’s practice focuses on employment litigation, counseling, and investigations. Ms. Lamm has particular expertise counseling on the legal and policy developments surrounding artificial intelligence and automation across the employment lifecycle. She has also represented technology companies involving allegations of discrimination related to the use of algorithms and AI. Ms. Lamm frequently speaks and writes on AI issues in employment and holds a program certificate from Wharton Online in Artificial Intelligence for Decision Making.
Ryan Hittner is a Managing Director at Deloitte. With over 17 years of risk management experience related to models and advanced algorithms, Ryan leads the AI & Algorithmic Assurance practice which focuses on helping businesses responsibly build AI trust.
Morgan Dove is a Senior Manager at Deloitte. Morgan works within the AI & Algorithmic Assurance practice, with over 8 years of experience specializing in strategic transformations, model validation, and quantitative risk management.
MCLE CREDIT INFORMATION:
This program has been approved for credit in accordance with the requirements of the New York State Continuing Legal Education Board for a maximum of 1.0 credit hour, of which 1.0 credit hour may be applied toward the areas of professional practice requirement. This course is approved for transitional/non-transitional credit.
Attorneys seeking New York credit must obtain an Affirmation Form prior to watching the archived version of this webcast. Please contact CLE@gibsondunn.com to request the MCLE form.
Gibson, Dunn & Crutcher LLP certifies that this activity has been approved for MCLE credit by the State Bar of California in the amount of 1.0 hour.
California attorneys may claim “self-study” credit for viewing the archived version of this webcast. No certificate of attendance is required for California “self-study” credit.