Emerging Risks: AI in Employment Decisions — What California Employers Need to Know

May 19, 2026

Emerging Risks: AI in Employment Decisions — What California Employers Need to Know

By Luiza Manuelian

Artificial intelligence is rapidly becoming part of everyday business operations, including hiring, recruiting, employee evaluations, and workplace management. While these technologies may improve efficiency, California employers should understand that the use of AI in employment decisions can also create significant legal exposure if not carefully managed.

California has continued expanding regulations surrounding Automated Decision-Making Systems (“ADS”), making clear that employers remain responsible for the outcomes produced by AI-driven tools — even when those systems are developed or managed by third-party vendors.

What Counts as an Automated Decision-Making System?

California broadly defines ADS as systems that assist in or make employment-related decisions using artificial intelligence, machine learning, algorithms, or statistical modeling.

These systems may include:

  • Resume screening and applicant ranking tools
  • AI-powered video interview analysis software
  • Productivity and employee monitoring platforms
  • Candidate scoring systems
  • Automated promotion or disciplinary recommendation systems

If the technology influences hiring, promotion, discipline, compensation, or termination decisions, it may fall within California’s evolving regulatory framework.

California Employers Remain Liable

One of the most important takeaways for employers is that liability does not shift to the software vendor simply because the technology was outsourced.

Under California’s Fair Employment and Housing Act (FEHA), employers may still face claims if an AI system creates discriminatory outcomes based on protected characteristics such as:

  • Age
  • Race or ethnicity
  • Disability
  • Gender or gender identity
  • Sexual orientation
  • Religion
  • Medical condition
  • Veteran status

Importantly, liability may exist even if discrimination was unintended.

For example, if an AI screening tool disproportionately excludes older applicants or creates disparate impact against a protected group, the employer may still be held responsible unless the process can be justified as job-related and consistent with business necessity.

AI Tools Are Increasing Litigation Risk

Recent litigation has already demonstrated how AI-related employment disputes are developing.

Courts are beginning to examine whether automated systems improperly influence hiring decisions, create discriminatory outcomes, or violate transparency and disclosure obligations. Employers relying heavily on automated systems without oversight may face increased scrutiny from both regulators and plaintiffs’ counsel.

As AI adoption expands, these cases are expected to become more common.

Practical Steps Employers Should Take

California employers using — or considering using — AI-driven systems should take a proactive and structured approach to compliance and risk management.

1. Inventory Existing Systems

Employers should identify all tools currently used in hiring, evaluation, discipline, monitoring, and workplace management that rely on automation or algorithmic decision-making.

Once identified, employers should assess how these systems operate and what employment decisions they influence.

2. Conduct Bias and Risk Reviews

AI systems should be evaluated regularly to determine whether they create unintended disparities across protected groups.

Employers should document:

  • Selection criteria
  • Methodologies used by the system
  • Testing procedures
  • Corrective actions taken when issues are identified

3. Maintain Human Oversight

Automated systems should not fully replace individualized human judgment.

Human review should remain part of the decision-making process, particularly for employment actions involving discipline, termination, hiring, or criminal history evaluations.

4. Vet Vendors Carefully

Employers should carefully evaluate third-party vendors providing AI tools or automated decision-making systems.

Vendor agreements should address:

  • Compliance obligations
  • Data handling and retention
  • Bias testing protocols
  • Indemnity provisions
  • Allocation of legal responsibility

5. Maintain Transparency and Documentation

Employers should maintain clear documentation regarding how AI systems are used and how decisions are reviewed.

California employers should also be prepared to explain:

  • What the system does
  • How decisions are generated
  • What role human oversight plays
  • How outcomes are monitored and validated

Strong documentation can become critical if claims later arise.

6. Retain Required Records

Employers should ensure that records related to automated decision-making systems, including underlying data and decision criteria, are properly retained in accordance with applicable legal requirements.

Final Takeaway

AI can improve efficiency, but it does not reduce employer responsibility under California employment law. In many cases, it may increase exposure if employers rely too heavily on automated systems without oversight, documentation, and compliance safeguards.

California’s regulatory environment continues to evolve, and employers who proactively evaluate, monitor, and document their use of AI tools will be in a stronger position to reduce risk and defend against future claims.

If you have questions about AI-related employment compliance, workplace policies, or risk management strategies, Grant | Shenon | Almaraz is available to assist.