The New York City Department of Consumer and Worker Protection (DCWP) announced that it will not start enforcing the law regulating automated employment decision tools until at least April 15, 2023. Local Law 144 of 2021 was scheduled to take effect January 1, but the DCWP attributed the delayed enforcement of the law to the high volume of public comments it received addressing its proposed regulations to implement the law. This law is the very first law within the United States squarely and comprehensively addressing the use of AI in making employment decisions. The law requires that before an employer uses an “automated employment decision tool” (AEDT, which is basically AI) that it conduct a bias audit within a year of using the tool, and that certain notices be given to candidates who may be subject to the AEDT, with an option to opt out of the AEDT process.
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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.
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Employers increasingly rely on computer-based tools to assist them in hiring workers, monitoring worker performance, determining pay or promotions, and establishing terms and conditions of employment. Automatic resume-screening software, hiring software, chatbot software, video interviewing software, analytics software, and employee monitoring and worker management software allow employers to find efficiencies in day-to-day employee management. Software may scan resumes and prioritize the use of certain keywords, rate employees based on their keystrokes, facial expressions or speech patterns, and obtain information about qualifications and cognitive abilities before a hiring manager ever takes a second look.
On May 12, 2022, the U.S. Equal Employment Opportunity Commission (EEOC) and the U.S. Department of Justice (DOJ) issued separate guidance addressing employers’ use of algorithms and artificial intelligence (AI) in employment-related decision-making. Both technical assistance documents focus specifically on how employers’ use of these technologies may adversely impact individuals with disabilities and violate the Americans with Disabilities Act (ADA).
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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.
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California is among the first states to propose expressly regulating employers’ use of algorithms and artificial intelligence. In a March 25, 2022 virtual public meeting, the California Fair Employment and Housing Council discussed proposed regulatory changes that would address employers’ and third parties’ use of artificial intelligence in employment practices. While the proposed regulations remain a work in progress, they provide a glimpse into how policymakers are approaching these issues — and they could prove influential to other states (and even, potentially, the federal government) contemplating their own regulations in this space.
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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.
Continue reading “Artificial Intelligence Briefing: Tracking AI Regulation and Legislation”