Does Workplace Privacy Extend to What an Employee Feels?
Workplace monitoring is not new. Employers have long measured attendance, productivity, location, communications, and use of company systems. Artificial intelligence introduces a more intimate possibility: technology that does not merely record what an employee does, but attempts to determine what the employee feels.
California has now drawn a boundary around that possibility.
On September 30, 2026, Governor Gavin Newsom signed Assembly Bill 1883. Beginning January 1, 2027, the law will prohibit employers from using certain AI-powered workplace surveillance tools to recognize, predict, or infer an employee’s emotional state or collect an employee’s neural data.
From Observing Conduct to Inferring Emotion
AB 1883 defines a workplace surveillance tool broadly. The term can include systems that collect employee activities, communications, actions, biometrics, behaviors, or other information through means other than direct human observation. Examples include audio and video surveillance, geolocation, continuous time tracking, and electromagnetic or photoelectronic tracking.
The law does not prohibit all such monitoring. Its restrictions apply when a workplace surveillance tool uses artificial intelligence for the prohibited purposes.
This distinction is important. Monitoring observable conduct and inferring an internal emotional condition are not necessarily the same intrusion. An employer may have legitimate reasons to know whether an employee entered a restricted location or completed a required task. Whether an employer should use AI to conclude that the employee is anxious, angry, distracted, or emotionally unstable presents a different question.
An inference may also carry consequences even when it is uncertain. Once an automated system assigns an emotional interpretation to a person, that interpretation could influence how the person is supervised, evaluated, disciplined, or trusted.
Neural Data and the Limits of Measurement
The law separately addresses neural data, defined as information generated by measuring activity in an employee’s central or peripheral nervous system. It does not include information inferred solely from non-neural sources.
That distinction captures an emerging privacy problem. Information does not become harmless merely because technology can measure it. As sensors become more sophisticated, organizations may gain access to signals that were once unavailable outside medical or research settings.
The ability to collect information does not answer whether collecting it is appropriate.
AB 1883 contains limited exceptions, including certain safety uses and narrowly defined circumstances involving compliance with federal requirements connected to aviation, national security, military, space, or defense work. Enforcement rests with the California Labor Commissioner and public prosecutors. Civil penalties can reach $500 per violation.
A Boundary for a Particular Moment
AB 1883 is not a comprehensive prohibition on employee monitoring. Employers may continue using many forms of workplace technology, and the law includes defined exceptions. Its importance may instead lie in the boundary it recognizes.
Workplace oversight has traditionally focused on conduct. AI can invite organizations to move from observing conduct to interpreting the person behind it. Neural measurements and emotional predictions may convert uncertain signals into apparently authoritative judgments about an employee’s inner state.
California’s response records an important moment in the development of workplace privacy. It suggests that some information may deserve protection not only because it is personal, but because it reaches toward a person’s internal experience.
As artificial intelligence becomes more capable of drawing conclusions from human signals, privacy law may increasingly have to decide where observation ends and intrusion begins.
References and Further Reading
California Assembly Bill 1883, California Legislative Information.
“California Enacts New Restrictions on AI-Based Employee Monitoring”, Hunton Andrews Kurth Privacy & Cybersecurity Law Blog, October 6, 2026.
“California’s Nation-Leading AI Framework Just Got Stronger”, Office of Governor Gavin Newsom, September 30, 2026.