Governor Gavin Newsom has signed Senate Bill (SB) 947, adding new requirements to the California Labor Code for employers that use automated decision systems in the workplace for disciplinary and termination decisions. The law takes effect July 1, 2027.

What is Covered?

SB 947 defines an automated decision system, or ADS, as any computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence that issues simplified output, including a score, classification, or recommendation, which is used to assist or replace human discretionary decision-making and materially impacts natural persons. The definition excludes certain common tools, including spam filters, firewalls, antivirus software, calculators, databases, and datasets.

What are the New Limitations for Employers?

  • Limitations on Disciplinary and Termination Decisions: As a result of SB 947, an employer may not solely rely on an ADS to make a disciplinary or termination decision. When an employer primarily relies on ADS output to make a disciplinary or termination decision, a human must review and corroborate the decision using the information that produced the output or other relevant material. Potential corroborating information may include managerial evaluations, personnel records, work product, peer reviews, and witness interviews. If the output cannot be corroborated, or the human reviewer determines that it is inaccurate, incomplete, or misleading, the employer may not use it to discipline or terminate the employee.

An employer that primarily relies on an ADS for discipline or termination must also give the affected employee a separate written notice when communicating the decision. The notice must explain the employer’s reliance on the ADS, confirm human review and corroboration, provide contact information for a person who can provide more information, describe the employee’s right to request a meaningful and objective description of the employee data used by the ADS, and state that retaliation is prohibited. The notice must be written in plain language and provided through a simple method.

  • Prohibition Against Ascertaining an Employee’s Protected Status: Employers may not use an ADS to infer an employee’s protected status under the Fair Employment and Housing Act (FEHA), or to predict and take adverse action against a worker for exercising legal rights.
  • Prohibition Against Evading the Law: The law prohibits employers from using an ADS to prevent compliance with or violate employment, labor, workplace safety, or civil rights laws.

The Labor Commissioner and public prosecutors may enforce the law. A qualifying collective bargaining agreement may waive the law’s provisions if it satisfies specified requirements, including protections from algorithmic management.

Before July 2027, employers should identify workplace tools that may qualify as an ADS and evaluate how their outputs affect disciplinary and termination decisions. Employers should also consider documenting human review procedures, developing compliant notices and data-response processes, and coordinating implementation with vendors.

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Photo of Eric J. Felsberg Eric J. Felsberg

Eric J. Felsberg is a principal in the Long Island, New York office of Jackson Lewis P.C. Eric is the leader of the firm’s AI Governance and Bias Testing and Pre-Employment Assessments subgroups, as well as the Technology industry group. An early adopter…

Eric J. Felsberg is a principal in the Long Island, New York office of Jackson Lewis P.C. Eric is the leader of the firm’s AI Governance and Bias Testing and Pre-Employment Assessments subgroups, as well as the Technology industry group. An early adopter, Eric has long understood the intersection of law and technology and the influence artificial intelligence has on employers today and will have on the workforce of the future.

Recognized as a leading voice in the industry, Eric monitors laws, regulations and trends, providing practical advice and answers to emerging workplace issues before his clients even know to ask the questions. He partners with clients to develop AI governance models, and provides advice and counsel on AI use policies, ethics and transparency issues related to AI products, systems and services. Eric leverages his considerable knowledge of the technology and AI industries to create meaningful partnerships with developers and distributors of AI models and tools and owners of content and data used to train AI applications for the benefit of his clients. He delivers user-friendly counsel and training to employers on everyday employment and compliance issues arising from federal, state and local regulations.

Photo of Scott P. Jang Scott P. Jang

Scott P. Jang is a principal in the San Francisco, California, office of Jackson Lewis P.C. and a co-leader of the firm’s Class Actions and Complex Litigation practice group and Technology industry group. He represents management in all areas of employment law, with…

Scott P. Jang is a principal in the San Francisco, California, office of Jackson Lewis P.C. and a co-leader of the firm’s Class Actions and Complex Litigation practice group and Technology industry group. He represents management in all areas of employment law, with particular focus on class actions and complex litigation. Scott is a member of the firm’s California Class and Private Attorneys General Act (PAGA) Action group, as well as a member of the California Advice and Counsel resource group.

Scott’s litigation experience covers the full spectrum of employment law. He has experience defending employers against claims for alleged discrimination, harassment, retaliation, wrongful termination, and unfair competition. He also has experience defending employers against various wage and hour claims, including claims for alleged overtime, meal and rest breaks, and business expense reimbursement. Scott’s trial practice includes having served as second chair in a bench trial in the U.S. District Court for the Northern District of California, in which a national beverage manufacturer fully prevailed on all claims for alleged misclassification. He has also served as first chair in several arbitrations for a national retailer for alleged wage and hour violations.