- videocam Live Webinar with Live Q&A
- calendar_month April 8, 2026 @ 1:00 PM E.T.
- signal_cellular_alt Intermediate
- card_travel Employment and Workers Comp
- schedule 90 minutes
AI Governance, Transparency, and Bias Audits in Employment: State Law Update, Mobley v. Workday, Compliance Issues
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About the Course
Introduction
This CLE webinar will examine how counsel can assist employer clients with satisfying their AI governance, transparency, and auditing obligations as required by an increasing patchwork of state and local employment laws to mitigate the risk of noncompliance. The panel will examine notable litigation, including the status of Mobley v. Workday, discuss the potential impact on employment discrimination law moving forward as it pertains to AI, and offer best practices for guiding employer clients through their anti-discrimination obligations as they use AI throughout the talent lifecycle.
Description
As employers increasingly use AI across the talent lifecycle—including for applicant recruitment and assessment, onboarding, performance reviews, and employee retention—the chance for potential discrimination claims increases if the use of AI results in biased outcomes. Therefore, a patchwork of state and local laws either currently require (or have pending legislation that will require) proactive auditing, transparency, and governance to mitigate the risk of AI bias.
AI bias audits should be part of a more comprehensive company AI governance program that brings together relevant company stakeholders to ensure regulatory compliance, including employment counsel and HR. Anti-bias audits include examining whether the tool's results differ for protected groups at each stage of the process for which AI is used.
It is imperative that counsel understand how to guide clients through their AI compliance obligations in the employment area—including conducting AI bias audits—to mitigate the risk of costly enforcement action and lawsuits.
A notable pending case, Mobley v. Workday, has potentially far-reaching implications regarding employment discrimination claims, including novel theories of employment agency and disparate impact despite President Trump's EO to eliminate EEOC enforcement based on disparate impact.
Listen as our expert panel examines employer obligations related to AI use under state and local statutes. The panel will examine notable litigation and case law and offer best practices for assisting clients with developing AI governance programs and performing AI bias audits to mitigate the risk of discrimination claims.
Presented By
Mr. Brenner advises federal government contractors and subcontractors all aspects of Office of Federal Contract Compliance Programs (OFCCP) regulations and requirements, including preparing affirmative action plans, responding to desk audits, and managing on-site audits. He also represents employers in all aspects of employment and labor litigation and counseling, including in both single-plaintiff and class action matters, with an emphasis on non-compete and trade secrets issues, medical and disability leave matters, employee/independent contractor classification issues, and the investigation and litigation of whistleblower claims. Mr. Brenner assists employers in negotiating and drafting executive agreements and employee mobility agreements, including non-competition, non-solicit and non-disclosure agreements, and also conducts and supervises internal investigations. He also regularly advises clients on pay equity matters, including privileged pay equity analyses.
Mr. Hathaway conducts labor and employment-related due diligence for major corporate transactions, often working with other major law firms who bring him in to join deal teams as a labor authority. He has saved clients millions of dollars by identifying undisclosed labor risks present in commercial deals and helps employers assess the risks and benefits of using artificial intelligence and algorithms in workplace decision-making. Mr. Hathaway’s clients include private equity sponsors and funds, manufacturing and logistic companies, talent management companies and talent agencies, and major entertainment studios and networks. He has decades of experience in collective bargaining, resolving workplace disputes and risk management. During workforce reductions and reorganizations, Mr. Hathaway helps clients comply with the federal WARN Act and state counterpart laws, and advises clients on layoffs of all sizes. He also defends his clients in employment disputes against charges brought before the EEOC and NLRB as well as class actions and individual lawsuits.
Mr. O'Keefe is an experienced trial lawyer who, for nearly 30 years, has litigated employment disputes of all types on behalf of employers, before federal and state courts, arbitral tribunals, and state and federal administrative agencies throughout the U.S. He has litigated employment-related lawsuits alleging breach of noncompete agreements, theft of trade secrets, discrimination, sexual harassment, whistleblowing, wage and hour violations, Title IX violations, breach of contract, defamation, fraud, and other business-related torts. His practice includes representing clients in complex class and collective litigation, including alleged violation of state and federal pay equity laws, violations of wage and hour laws, and discrimination claims. In addition to his extensive litigation practice, he regularly advises employers, writes and speaks on a wide range of employment-related issues. He counsels clients concerning pay equity, use of Artificial Intelligence in the workplace, management of personnel problems, ADA/FMLA compliance, reductions in force, investigation of employee complaints, state and federal leave laws, wage and hour issues, employment policies, and contracts.
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This 90-minute webinar is eligible in most states for 1.5 CLE credits.
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Live Online
On Demand
Date + Time
- event
Wednesday, April 8, 2026
- schedule
1:00 PM E.T.
I. Introduction: bias risks inherent in employer use of AI
II. State and local laws requiring AI bias audits, transparency, and governance
A. Requirements
B. Employer impact
III. Notable litigation
A. Mobley v. Workday
B. Other
IV. Best practices for mitigating risk of employment discrimination when using AI
A. AI governance programs
B. AI bias audits
V. Practitioner takeaways
The panel will review these and other key issues:
- What notable state and local statutes (or pending statutes) require employers to proactively audit and govern AI use to mitigate the risk of bias?
- What is the status of Mobley v. Workday? Other notable litigation? How may litigation shape the future of employment discrimination law as it pertains to AI?
- What are best practices for helping clients develop AI governance programs? Conducting AI bias audits? In what ways should employment counsel be involved in these processes?
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