BarbriSFCourseDetails
  • 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

BarbriPdBannerMessage

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

Guy Brenner
Partner, Head of Government Contractor Compliance Group, Co-Head of Counseling, Training & Pay Equity Group
Proskauer Rose LLP

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.

Mark S. Goldstein
Partner
Reed Smith

Mr. Goldstein advises employers on all facets of domestic and global workplace strategies, compliance, risk-mitigation measures, and litigation, with pioneering experience in AI and tech-driven employment issues. His practice includes counseling employers on compliance, policy development, and litigation avoidance, as well as defending them in workplace-related disputes. Mr. Goldstein’s work spans the full range of workplace matters, including policy and handbook development; risk assessment and litigation avoidance; compliance with anti-discrimination, anti-harassment, wage and hour, and other workplace laws; and conducting internal investigations. He also advises on hiring, discipline, discharge, reductions in force, and restructuring decisions, and provides workplace training. He further counsels clients on enforcement of non-competes and other restrictive covenants; drafting employment, independent contractor, separation, confidentiality, and other workplace-related agreements; government audits and investigations; and the workplace implications of franchisor-franchisee relationships. In addition, as a pioneering technology lawyer, Mr. Goldstein counsels employers on artificial intelligence and tech-related workplace issues. He frequently writes and speaks on employment-related issues. 

Credit Information
  • This 90-minute webinar is eligible in most states for 1.5 CLE credits.


  • 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?