Workplaces
California makes AI workforce decisions auditable
Four laws signed on 30 September 2026 set the most detailed rules yet in the United States for how employers use AI on their workforce. For any company with staff in California, the practical result is the same: AI-assisted people decisions now need a paper trail.
At a glance: On 30 September 2026, California Governor Gavin Newsom signed SB 947, SB 951, AB 1883 and AB 1331. Together they bar employers from relying solely on automated systems to discipline or fire workers, require mass layoff notices to disclose when AI is a substantial cause, ban AI tools that infer employees' emotions or collect neural data, and restrict surveillance in workplace bathrooms. SB 947 takes effect on 1 July 2027. Employers should start redesigning decision processes now.
What was signed
The four bills were part of a wider package of AI measures the governor signed on 30 September. "AI should expand opportunity – not come at the expense of workers and families," Newsom said in announcing them.
SB 947, the No Robo Bosses Act of 2026 (Chapter 859, Statutes of 2026). Authored by Senator Jerry McNerney and sponsored by the California Federation of Labor Unions, the law bars employers from relying solely on an automated decision system (ADS) to make a disciplinary or termination decision. Where an employer primarily relies on ADS output for such a decision, a human must corroborate it, using the underlying data or other evidence such as supervisor evaluations, personnel files, work product, peer reviews or witness interviews. If the output cannot be corroborated, or the reviewer finds it inaccurate, incomplete or misleading, it cannot be used.
The employer must also give a written notice, at the time it informs the employee of the decision, stating that it primarily relied on an ADS, that a human reviewed and corroborated the output, and how to contact a person and request a description of the employee's own data used by the system. The law also bars using an ADS to infer a worker's protected status or to predict and punish the exercise of legal rights. It carries a $500 civil penalty per violation, allows private lawsuits, and in a dispute places the burden on the employer to show it complied. The law becomes operative on 1 July 2027. "No worker should ever be fired or disciplined by a robo boss," McNerney said.
SB 951, technological displacement notice (Chapter 860, Statutes of 2026). Authored by Senator Eloise Gómez Reyes, this law amends the California WARN Act, which already requires 60 days' notice of mass layoffs, relocations and closures at establishments with 75 or more employees. Where such an event is caused in whole or in substantial part by AI or other automated technology, the notice must now state the number, occupations and locations of affected roles, the job functions that will be automated, and the category of AI or technology involved. It must carry the line "This notice is for a technology displacement" at the top.
AB 1883, workplace surveillance tools (Chapter 853, Statutes of 2026). Authored by Assemblymember Isaac Bryan, this law bars employers from using an AI-enabled workplace surveillance tool to recognise or infer an employee's emotional state, or to collect neural data, with an exception for use to ensure safety. Penalties are up to $500 per violation, with enforcement by the Labor Commissioner, public prosecutors and private action.
AB 1331, workplace surveillance (Chapter 851, Statutes of 2026). Authored by Assemblymember Sade Elhawary, this law bars employers from using surveillance tools to monitor employees in workplace bathrooms, and lets employees leave carried tracking devices behind when they enter one, subject to limited exceptions.
When the rules apply
SB 947 states that it becomes operative on 1 July 2027. The other three laws contain no separate operative date. Under California's constitution, a statute passed in a regular session normally takes effect on 1 January of the following year, which would make 1 January 2027 the start date for SB 951, AB 1883 and AB 1331.
Why "auditable" is the right word
WCRC analysis: none of these laws bans AI from the workplace. What they do is make AI-assisted decisions explainable after the fact, to the employee, to a regulator and, if necessary, to a court.
SB 947 is the clearest example. An employer that uses an ADS in a firing decision must be able to show who reviewed the output, what evidence they used to corroborate it and what the employee was told. The burden-of-proof provision means that missing records count against the employer. SB 951 does the same for layoffs at scale, turning the role of AI into a public record held by the state. AB 1883 and AB 1331 draw hard lines around certain monitoring practices, which forces companies to know exactly what their tools collect.
For many organisations, the hardest part will be discovering where automated systems are already influencing people decisions. Performance dashboards, productivity scoring, scheduling software and attendance tools can all feed into discipline without anyone describing them as AI.
Redesigning decisions so they can be audited
WCRC analysis: HR and legal teams can prepare in four steps.
Build an inventory. List every tool that scores, ranks, monitors or flags employees, including vendor products. Record what data each uses and which decisions it informs.
Define human review. For discipline and termination, write down what corroboration means in practice: which evidence the reviewer must examine, how disagreement with the system is recorded, and who signs off. A reviewer who only approves the system's output is unlikely to meet the standard.
Prepare notices. Draft plain-language post-decision notices for SB 947 and update WARN templates for SB 951, so that the technology-displacement statement can be issued quickly and accurately.
Audit monitoring tools. Check whether any product infers mood, stress or engagement from faces, voices or other signals, and whether any collects nervous-system data. Switch off prohibited features, and review policies on devices in bathrooms.
Who may follow
California often sets the pace on employment and privacy rules for US companies, because many national employers choose to apply its standards across their workforce rather than run separate processes. Outside the US, the European Union's AI Act already classes AI systems used in recruitment, promotion, termination and worker monitoring as high risk. WCRC analysis: multinationals that build an auditable decision process for California now will be better placed wherever similar rules arrive.
What it means for leaders
- Treat 1 July 2027 as the deadline for human review and post-decision notices on AI-assisted discipline and firing in California, and 1 January 2027 as the likely start date for the other three laws.
- Commission an inventory of every system that scores, monitors or flags employees, including vendor tools.
- Write a documented human-review standard for any decision informed by automated output.
- Update layoff notice templates so AI-driven displacement can be disclosed accurately.
- Remove emotion-inference features from monitoring tools used on California staff.
Quick answers
Q: What does California's No Robo Bosses Act do? A: SB 947 bars employers from relying solely on automated decision systems to discipline or fire workers, requires human corroboration and a written notice when such systems are primarily relied on, and becomes operative on 1 July 2027.
Q: Do California employers have to disclose AI-caused layoffs? A: Yes. SB 951 amends the California WARN Act so that notices for mass layoffs, relocations or closures caused in whole or substantial part by AI must disclose the affected roles, the automated job functions and the type of technology involved.
Q: Can California employers use AI to read employees' emotions? A: No. AB 1883 bars employers from using AI-enabled workplace surveillance tools to recognise or infer an employee's emotional state or to collect neural data, except to ensure safety.
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