Artificial intelligence (AI) is quickly moving from a “nice-to-have” tool to a core part of day-to-day operations. Employers are increasingly using AI for recruiting, performance management, workforce analytics, and employee communications.
At the same time, regulators and courts are paying close attention. New laws, enforcement activity, and litigation trends signal that AI in employment is no longer unregulated territory, and employers who adopt these tools without guardrails face growing legal risk.
From bias concerns in hiring to data privacy and transparency requirements, the challenge for employers is no longer whether to use AI, but how to use it responsibly and compliantly.
AI tools can create efficiencies, but they also introduce new compliance challenges. A few key risk areas to be aware of include:
Discrimination risk – AI systems can replicate or amplify historic biases in hiring, promotion, or discipline decisions, potentially violating federal and state anti-discrimination laws.
Regulatory patchwork – States and localities are implementing different rules governing AI, including requirements for bias audits, transparency, and risk assessments.
Employer liability remains – As always, employers remain responsible for outcomes generated by AI tools provided by third-party vendors.
Data privacy and confidentiality risks – Improper use of AI tools can expose sensitive employee or business information.
To reduce risk while still capturing the benefits of AI, employers should consider the following best practices:
1. Conduct AI Risk Assessments – Evaluate any AI tools used in hiring, discipline, or workforce decisions to identify potential bias, data risks, and compliance gaps.
2. Maintain Human Oversight – Use AI as a decision-support tool, not as a standalone decision-maker. Ensure managers review and validate AI-driven recommendations before acting.
3. Promote Transparency – Inform applicants and employees when AI is used in employment decisions and explain, at a high level, how it impacts outcomes.
4. Audit for Bias and Disparate Impact – Regularly test AI tools to ensure they are not disproportionately affecting protected groups or creating unintended discrimination risks.
5. Implement an AI Workplace Policy – Adopt a clear policy addressing:
Approved AI tools
Permissible uses
Data privacy and confidentiality expectations
Required review and approval processes
Failing to establish guardrails is one of the most common and preventable AI-related risks.
6. Provide Training to All Employees – Ensure those using AI tools understand both the benefits and the legal risks, including when human intervention is required.
A Note for California Employers
California continues to lead in workplace regulation and is actively evaluating rules governing automated decision systems and AI in employment. Employers operating in California should assume a stricter, more employee-protective standard and monitor ongoing developments closely.
AI can deliver real efficiencies—but without proper oversight, it can also create significant legal exposure. Employers that take a proactive, structured approach to AI governance will be best positioned to leverage its benefits while minimizing risk.