Quick Hit: In 2024, Colorado enacted the Colorado Artificial Intelligence Act (the “AI Act”), the most comprehensive measure regulating the use of AI in the nation. As the law’s June 30, 2026 effective date approaches, and given the significant concerns raised about the AI Act, on March 17, 2026, the Colorado AI Policy Work Group (the “Work Group”),
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What President Trump’s AI Executive Order 14365 Means For Employers
On December 11, 2025, President Trump signed Executive Order 14365, “Ensuring a National Policy Framework for Artificial Intelligence” (the “EO”). The order identifies “excessive state regulation” as an obstacle to the Administration’s policy of “sustain[ing] and enhanc[ing] the United States’ global AI dominance through a minimally burdensome national policy framework for AI” (the “AI
[Podcast] AI Bias Audits
In this episode of The Proskauer Brief partner Guy Brenner, who leads Proskauer’s D.C. Labor & Employment practice and is head of the Government Contractor Compliance Group, and Jonathan Slowik, senior counsel, Labor & Employment, in the firm’s Los Angeles office, discuss laws requiring employers who use artificial intelligence (AI) to conduct bias
Survey of Managers Highlights The Widespread Use and Potential Risks of Unsanctioned AI Use
If a recent survey is to be believed, managers’ use of artificial intelligence (AI) tools in making personnel decisions may be more extensive than their employers realize. A survey of 1,342 full-time manager-level employees commissioned by ResumeBuilder.com revealed some eye-popping results. Roughly 60% of respondents said they relied on AI to make decisions about direct
‘Big Beautiful Bill’ Leaves AI Regulation to States and Localities … For Now
On July 4, 2025, President Trump signed the One Big Beautiful Bill Act into law—a budget reconciliation bill enacting several signature policies of the President’s second-term agenda. Left on the cutting-room floor, however, was an ambitious attempt to prohibit nearly all state and local regulation of artificial intelligence (“AI”) for the foreseeable future.
The version
AI Bias Lawsuit Against Workday Reaches Next Stage as Court Grants Conditional Certification of ADEA Claim
A closely watched class and collective action against the HR management services company Workday, Inc. reached a new milestone recently, when the Northern District of California conditionally certified Age Discrimination in Employment Act (ADEA) claims on behalf of a sprawling collective believed to include millions of job applicants. In Mobley v. Workday, Inc., N.D. Cal.
Another Legal Challenge to an AI Interviewing Tool
In the latest lawsuit of its kind, the American Civil Liberties Union recently filed a complaint with the Colorado Civil Rights Division and the Equal Employment Opportunity Commission (“EEOC”) alleging an AI interviewing tool discriminated against a deaf and Indigenous employee at Intuit seeking a promotion.
According to the complaint, when the employee applied for
[Podcast] AI at Work: Design Use Mismatches
In the final installment of our AI at Work series, partner Guy Brenner and senior counsel Jonathan Slowik tackle a critical issue: mismatches between how artificial intelligence (or AI) tools are designed and how they are actually used in practice. Many AI developers emphasize their rigorous efforts to eliminate bias, reassuring employers that their tools
Trump Alters AI Policy with New Executive Order
On January 23, 2025, President Trump issued an Executive Order entitled “Removing Barriers to American Leadership in Artificial Intelligence.” The Executive Order seeks to maintain US leadership in AI innovation. To that end, the Order “revokes certain existing AI policies and directives that act as barriers to American AI innovation,” but does not
[Podcast] AI at Work: Black Box Issues
In part three of our series on potential pitfalls in the use of artificial intelligence (or AI) when it comes to employment decisions, partner Guy Brenner and senior counsel Jonathan Slowik dive into the concept of “black box” systems—AI tools whose internal decision-making processes are not transparent. The internal workings of such systems may not