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Editor's Note
How to Analyze an AI Discrimination Law
Virginia is the latest state to almost pass new laws on AI regulation. It looks like the Governor will veto, but there are some key provisions in the law and approach that are worth understanding.
Here's what's most interesting to me and some of the questions I ask when analyzing AI discrimination laws.
Because these new laws don't really change existing law that already applies and don't offer any meaningful remedy to the people who may be harmed, it seems more like legislative theater than something meaningful.
In the meantime, if you use AI in employment decisions, monitor your outcomes, investigate potential bias, and don't discriminate.
- Heather Bussing
by David Walton
Virginia lawmakers just passed a groundbreaking AI anti-discrimination bill, setting the stage for new workplace compliance obligations – but that’s only if Gov. Glenn Youngkin signs it into law. Following the lead of Colorado’s first-in-the-country state AI discrimination law, Virginia’s version, while more industry-friendly, would still require employers to prepare for significant oversight of AI-driven decision-making starting July 1, 2026. But there’s a significant chance that the Republican governor will veto this Democratic bill. Here’s what you need to know about this potential new law, whether you have operations in Virginia or not.
The Virginia Senate passed HB 2094 on February 19, a week after the state House did the same. Both votes were narrow and along party lines, with the slim Democratic majority in both chambers edging out the Republican opposition (21-19 in the Senate, 51-47 in the House).
It now heads to Gov. Youngkin for final action. He is considered a moderate Republican and doesn’t always strictly follow party lines, but often supports the business community. Because of his business-friendly leanings and aversion to regulation, many government watchers expect him to veto this legislation. We’ll monitor the situation and provide updates as necessary.
If enacted, the new law would introduce five key elements to state law when it comes to AI in the workplace starting July 1, 2026.
Employers and businesses in Virginia deploying high-risk AI systems to make “consequential decisions” would be on the hook. That includes AI-powered tools that influence:
If your AI tools assist your operations rather than autonomously decide on their own, or if they’re designed for procedural support (like resume sorting), they may not qualify as “high-risk.”
If signed into law, Virginia employers would face three key compliance obligations.
Before deploying AI, employers would need to assess potential bias risks and document how AI makes decisions. They would also need to follow national standards such as NIST’s AI Risk Management Framework, while monitoring ongoing AI performance to detect discriminatory patterns.
When AI makes a consequential decision, employers would need to inform affected individuals (such as applicants or employees) that AI was used and disclose the key factors influencing the decision. They would also need to offer an appeals process (with human review where feasible).
Violations would lead to civil penalties up to $10,000 per willful offense. As noted above, the Virginia Attorney General would be the sole enforcer, meaning there would be no private right of action – at least for now. Even if targeted by the AG’s office, employers would get 45 days to cure violations before facing enforcement action.
This bill has been compared to Colorado’s first-in-the-nation AI law, which you read about here. How do the two square up against each other?
While it is still an open question as to whether this law will go into effect in 2026, you can take some basic steps to up your AI governance game and introduce best practices regardless:
✅ Audit AI Usage: Identify any AI-driven decision-making in hiring, finance, healthcare, and other regulated areas.
✅ Conduct Bias Testing: Ensure your AI tools undergo rigorous testing to prevent disparate impact.
✅ Update Policies: Implement AI governance frameworks that align with risk management best practices. Follow our 10-step guide to setting up your own AI governance system.
✅ Prepare Disclosure Processes: If the law takes effect, work with counsel to develop clear notice and appeal mechanisms to comply with the law.
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