The EEOC releases a technical assistance document exploring employers’ Title VII liability when incorporating AI tools and automated systems in employment selection procedures, and a new Texas district court rule prevents attorneys’ unchecked use of AI in preparing legal documents — we’re exploring these developments and the latest insurance regulatory news from California and Colorado in our briefing.
Our latest briefing dives into new local laws about AI and how it affects both employment and insurance industries, the launch of NIST’s Trustworthy & Responsible Artificial Intelligence Resource Center and the plans for it moving forward, new guidance from the FDA on cybersecurity and on artificial intelligence/machine-learning frameworks, and the Coalition for Health AI’s quality assurance standards for use of AI in the health care and related industries.
National Labor Relations Board and Federal Trade Commission execute Memorandum of Understanding to promote fair competition and advance workers’ rights.
On July 19, 2022, the NLRB and FTC formalized a partnership between the agencies that, among other things, will seek to protect worker rights from algorithmic decision-making. This is the most high-profile instance of the NLRB identifying algorithmic decision-making as something that could impact employee rights protected by the National Labor Relations Act. Employers with organized workforces (or workforces that could be the target of union organizing) should be aware of this development and the NLRB’s growing cooperation with the FTC.
Significant new guidance from the Department of Justice (DOJ) and Equal Employment Opportunity Commission (EEOC) advises employers that use of AI and algorithmic decision-making systems in employment-related decisions may violate the Americans with Disabilities Act. In other AI news, automated decision-making and algorithmic bias became focal points at three major industry conferences held in the past month, as industry leaders work to get ahead of the rising tide of regulations targeting AI.
As more organizations use artificial intelligence and algorithms to drive decision-making processes, policymakers are beginning to address concerns about these tools — including their lack of transparency and potential for generating unintended bias and discrimination. In our inaugural artificial intelligence briefing, we provide a rundown of recent AI regulatory and legislative developments from across the U.S. that should be top of mind for any organization using AI or algorithms.