August 25, 2026
california-considers-landmark-legislation-to-regulate-ai-in-employee-discipline-and-termination-decisions

California lawmakers are poised to enact significant new regulations governing the use of automated decision systems (ADS) by employers, particularly concerning employee discipline and termination. Senate Bill 947 (SB 947), introduced by Senator Susan Talamantes McNerney and co-authored by Senator Anna M. Caballero Reyes and Assembly Members Evan Low and Matt Haney, proposes a framework that would mandate human oversight and enhance employee notification when AI systems influence critical employment decisions. If passed, these pivotal changes are slated to take effect on July 1, 2027, marking a potentially transformative moment in the intersection of artificial intelligence and labor law in the United States’ most populous state.

The proposed legislation stems from a growing concern among policymakers and labor advocates about the increasing reliance on AI and other automated tools in the workplace. As these technologies become more sophisticated, their capacity to analyze vast amounts of employee data and make recommendations or direct decisions on issues ranging from performance evaluations to disciplinary actions has expanded dramatically. However, this trend has also raised alarms regarding fairness, transparency, and the potential for algorithmic bias to disproportionately impact certain employee groups. SB 947 aims to strike a balance, allowing for the efficiency of automated systems while embedding crucial safeguards to protect employee rights and ensure accountability.

Mandating Human Oversight in AI-Driven Employment Actions

A core tenet of SB 947 is the prohibition of employers solely relying on an automated decision system (ADS) for disciplinary or termination decisions. Under the proposed bill, if an employer primarily utilizes an ADS output to inform such actions, a human reviewer must conduct an independent investigation and corroborate the decision. This independent review process is designed to ensure that the AI’s findings are not blindly accepted but are validated through human judgment and a comprehensive examination of relevant evidence.

The scope of information that a human reviewer could consider is broad, encompassing managerial evaluations, existing personnel records, an employee’s work product, peer reviews, and even witness interviews. This multi-faceted approach underscores the legislative intent to move beyond mere algorithmic output and to incorporate qualitative and contextual factors that an AI might overlook or misinterpret. The bill clearly stipulates that if the ADS output cannot be corroborated, or if the human reviewer determines it to be inaccurate, incomplete, or misleading, the employer would be barred from using that output as the basis for a disciplinary or termination decision. This provision serves as a critical fail-safe, preventing potentially erroneous or unfair employment actions driven by flawed algorithmic logic.

Protecting Employee Rights and Prohibiting Algorithmic Discrimination

Beyond the immediate requirement for human review, SB 947 also seeks to prevent employers from leveraging automated systems for retaliatory or discriminatory purposes. The bill explicitly prohibits the use of an ADS to predict or take adverse action against employees for exercising their legal rights. This includes protections for employees who engage in protected activities, such as reporting workplace violations, participating in union organizing, or asserting their rights under labor laws.

California Bill Aims To Stop Employers From Letting AI Make Firing Decisions Alone

Furthermore, the legislation aims to prevent the misuse of ADS to infer protected characteristics under California law. This means employers would be barred from using AI to make employment decisions based on characteristics such as race, gender, age, religion, national origin, disability, or sexual orientation, even if such characteristics are not explicitly programmed into the system but could be inferred from data patterns. This clause is particularly vital in addressing concerns about algorithmic bias, where AI systems, trained on historical data that may reflect societal biases, can inadvertently perpetuate or even amplify discrimination.

Enhancing Transparency and Employee Notification

A significant component of SB 947 focuses on increasing transparency for employees affected by AI-driven employment decisions. When an ADS is primarily used in a disciplinary or termination decision, the affected employee would be entitled to receive written notice at the time they are informed of the decision. This notice would serve several key purposes: it would clearly state that an ADS was primarily relied upon in reaching the decision, confirm that a human reviewer independently investigated and corroborated the AI’s output, and provide contact information for a human representative who can address any questions the employee may have regarding the decision.

This notification requirement is a crucial step towards empowering employees with knowledge about how decisions affecting their livelihoods are made. It demystifies the use of AI and ensures that employees are not left in the dark about the factors influencing their employment status.

In addition to immediate notification, the bill grants employees the right to request a description of their own data that was primarily used by an ADS in a disciplinary or termination decision over the preceding 12 months. This request would be limited to once per year. The legislation also includes provisions to protect the privacy of other individuals, requiring that any information identifying other employees or individuals be shielded from disclosure. This dual focus on employee access to their data and the protection of others’ privacy aims to create a transparent yet secure information-sharing environment.

Enforcement Mechanisms and Potential Penalties

To ensure compliance with the proposed regulations, SB 947 outlines specific enforcement mechanisms and potential penalties. The Labor Commissioner is designated to enforce the provisions of the bill. Additionally, public prosecutors would have the authority to bring civil enforcement actions against employers who violate the law.

Employers found to be in violation of the requirements could face a civil penalty of $500 per violation. Beyond this specific penalty, employers could also be subject to other remedies available through civil actions, which could include damages, injunctive relief, and back pay, depending on the nature and severity of the violation. This tiered enforcement approach aims to deter non-compliance and provide avenues for redress for affected employees.

California Bill Aims To Stop Employers From Letting AI Make Firing Decisions Alone

Scope of Application and Exemptions

The provisions of SB 947 are designed to have broad applicability, covering state and local government employers, as well as private employers and labor contractors. This comprehensive scope reflects the legislature’s intent to address the use of ADS across a wide spectrum of the California workforce.

However, the bill does include certain exemptions. It would not apply to parties covered by collective bargaining agreements that explicitly waive the law, provided these agreements offer specified protections against algorithmic management. This carve-out acknowledges the role of collective bargaining in setting employment standards and allows unions to negotiate alternative protections for their members.

Furthermore, certain uses of ADS required by federal law, regulation, or binding federal contracts would also be excluded. This includes applications in critical sectors such as aircraft, national security, military, space, or defense activities, where federal mandates or specific operational requirements may necessitate the use of automated systems without the full scope of SB 947’s provisions. These exemptions are likely intended to avoid conflicts with federal law and to accommodate the unique needs of sensitive industries.

Broader Implications and the Future of AI in the Workplace

The introduction of SB 947 signals a proactive stance by California policymakers in addressing the rapidly evolving landscape of AI in employment. The bill’s focus on human review, transparency, and protection against discriminatory use of AI reflects a growing recognition that while AI offers potential benefits in efficiency and data analysis, its implementation must be carefully managed to uphold fundamental employee rights.

The potential impact of this legislation, if enacted, extends beyond California. As the largest state economy in the U.S., California often sets precedents that influence regulations in other states and at the federal level. The passage of SB 947 could encourage similar legislative efforts nationwide, fostering a broader conversation about the ethical and legal implications of AI in the workplace.

The timeline for the bill is also noteworthy. With provisions set to take effect in July 2027, lawmakers are providing a substantial lead time for employers to understand and adapt to the new requirements. This period will likely involve further discussions, potential amendments, and the development of guidance from regulatory bodies to assist businesses in their compliance efforts.

California Bill Aims To Stop Employers From Letting AI Make Firing Decisions Alone

The background context for this legislation includes a surge in the adoption of AI tools across various industries, from retail and logistics to customer service and human resources. Reports from organizations like the McKinsey Global Institute have highlighted the transformative potential of AI in boosting productivity and innovation. However, these reports also frequently underscore the importance of responsible AI deployment, including addressing ethical concerns and ensuring that technology serves human interests.

For example, a 2023 report by the AI Now Institute at New York University documented numerous instances of algorithmic bias in hiring and management tools, leading to discriminatory outcomes for marginalized groups. These real-world examples likely informed the concerns of California legislators as they drafted SB 947.

The bill’s emphasis on independent corroboration by human reviewers is particularly significant. It suggests a legislative philosophy that views AI as a powerful tool to augment, rather than replace, human decision-making in sensitive employment matters. This approach aligns with the principle of accountability, ensuring that there is a human responsible for the ultimate decision and that the process leading to that decision is fair and justifiable.

The provision allowing employees to request a description of their data used by ADS also marks a significant step towards data privacy and empowerment in the workplace. In an era where data is increasingly central to decision-making, granting employees access to the data that informs decisions about their careers is a crucial element of fairness and due process.

Ultimately, SB 947 represents a thoughtful and comprehensive attempt to navigate the complex challenges posed by the increasing integration of AI into the workforce. By prioritizing human oversight, transparency, and the protection of employee rights, California is positioning itself as a leader in shaping the future of AI regulation in employment, aiming to ensure that technological advancement serves to enhance, rather than undermine, the dignity and rights of workers.