Technology moves faster than the law, but California is working to close that gap. Many businesses in the San Francisco Bay Area now use automated systems to screen resumes, conduct video interviews, and even decide who gets a promotion. While these tools promise efficiency, they often carry the hidden biases of the humans who programmed them or the data used to train them.
The answer to whether an algorithm can discriminate against you is a clear yes. Because of this, the California Civil Rights Council recently implemented strict regulations to ensure that technology does not become a shield for unlawful bias. If you work in Oakland or San Francisco, knowing your rights under these new digital frontiers is essential for protecting your career.
The Shift Toward Regulating Automated Decision Systems (ADS)
On October 1, 2025, California enacted groundbreaking regulations specifically targeting Automated Decision Systems (ADS) in the workplace. These rules, which fall under the Fair Employment and Housing Act (FEHA), clarify that employers cannot avoid liability by simply saying, “the computer made the decision.”
An ADS is defined broadly as any computational process that makes a decision or assists a human in making a decision regarding employment benefits. This includes:
- Software that screens resumes for specific keywords or patterns.
- Algorithms that target job advertisements to specific demographic groups.
- AI that analyzes facial expressions, tone of voice, or word choice during online interviews.
- Gamified assessments are used to measure personality traits or “cultural fit.”
If these tools result in a disproportionate impact on a protected group, the employer may be held liable for discrimination.
Protected Characteristics Under California Law
California law provides some of the strongest workplace protections in the country. The California Civil Rights Department enforces laws that prohibit discrimination based on a wide range of characteristics. When an algorithm is used to filter candidates, it must not discriminate based on:
- Race, color, or ancestry.
- Religious creed or national origin.
- Physical or mental disability.
- Sex, gender, gender identity, or sexual orientation.
- Age (40 and over) or medical conditions.
In the Bay Area, where the tech industry and traditional sectors like finance and healthcare intersect, these protections are vital. For example, an AI tool that filters out candidates with gaps in their resumes might accidentally discriminate against women who took leave for pregnancy or individuals who were managing a disability.
How Algorithmic Bias Happens in Recruitment and Hiring
Algorithmic bias is rarely intentional, but under California law, intent is not always required to prove discrimination. If a tool creates a “disparate impact,” meaning it adversely affects one group more than another, it may be illegal.
We see this frequently in how AI handles “proxy” data. An algorithm might not be told to look for race, but it might look for zip codes. In a city like Oakland, where certain neighborhoods have historically been segregated, using zip codes as a metric can result in racial bias. Similarly, tools that analyze “vocal characteristics” might penalize an applicant with a thick accent, even if that accent has no impact on their ability to perform the job.
The new regulations also address medical inquiries. Assessments that use puzzles or games to measure “reaction time” could inadvertently function as an unlawful medical exam if they screen out individuals with certain physical or cognitive disabilities.
The Responsibility of Employers and Third-Party Vendors
One of the most significant aspects of the new California AI laws is that employers are responsible for the tools they use, regardless of who built them. If a firm in San Francisco hires a third-party software company to handle its recruiting, and that software is biased, the employer still faces the legal consequences.
The law now requires employers to keep records of ADS-related data for at least four years. This includes the data used to train the AI, the criteria the system applied to candidates, and the results of the decisions. This transparency is designed to allow the Civil Rights Council and private litigants to investigate whether a system is operating fairly.
What to Do If You Suspect Algorithmic Discrimination
Identifying AI bias is difficult because algorithms’ “black boxes” are often hidden from the public. However, there are signs that you might have been a victim of digital discrimination. If you were rejected for a position where you were highly qualified, or if you noticed that an automated interview felt focused on physical traits rather than skills, you may have grounds for a claim.
The legal process usually begins by filing a complaint with the California Civil Rights Department. Because these cases involve complex data and emerging statutes, having experienced legal counsel is necessary to ensure that the right evidence is preserved before it is deleted or overwritten.
Seeking Legal Guidance in the Bay Area
The intersection of technology and civil rights is a complex area of law that requires a deep understanding of both state statutes and the nuances of the local court systems in San Francisco and Alameda County. We have spent decades advocating for the rights of workers and businesses throughout Northern California.
At Geonetta & Frucht, LLP, we bring 50+ years of combined experience to every case we handle. We are not afraid to tackle the most difficult or complex cases involving new technologies and changing legal standards. We work closely with our clients to explain how these new AI regulations affect their specific situations while maintaining a high level of personal service.
If you believe an automated system was used to unfairly deny you an employment opportunity or benefit, we are here to help. Our team provides the trial experience needed to challenge sophisticated corporate entities and their software vendors.
To discuss your concerns, please schedule a free initial consultation by contacting our firm online or by calling us in Oakland at 510-250-2743 or in San Francisco at 415-237-1212.
