The use of artificial intelligence (AI) is rapidly transforming how employers recruit, screen, and hire workers. The lure of AI is its promise of efficiency, especially in the Human Resources space where hiring often spans diverse roles, seasonal needs, and regulatory complexity. But the reality of AI is that its use carries significant legal risks, especially when it comes to discrimination. 

What’s at Stake? 

Recent lawsuits against major employers like Workday and Sirius XM provide insight into the ways AI hiring tools can unintentionally exclude candidates based on race, age, or disability. Both cases challenge the employers use of AI screening tools as violative of federal anti-discrimination laws. Allegedly, to the candidate’s detriment, high power AI tools used by the companies in their recruiting efforts, interpret a candidate’s qualification using advanced algorithmic methods to score the candidate’s data either automatically rejecting or advancing them through the hiring process. In Workday’s case liability could prove exponential as thousands of companies utilize their AI-powered screening tools. 

But, in each of these cases, the moral of the story isn’t just about algorithms gone bad, it’s about the employers’ legal responsibility to ensure AI practices do not run afoul of fair hiring practices under anti-discrimination laws like Title VII, the ADA, and emerging state legislation such as Colorado’s SB 24-205. More specifically, in agriculture, where hiring often involves rural communities, immigrant workers, and individuals with limited access to technology, these risks are amplified. 

How Bias Creeps In 

AI bias often stems from the data used to train algorithms. For example: 

• Proxy discrimination: AI may favor candidates from certain zip codes or schools, unintentionally excluding others. 

• Disability exclusion: Tools that rely on eye-tracking or timed responses may disadvantage candidates with visual or cognitive impairments. 

• Opaque decision-making: Employers may not understand how or why an AI tool rejects a candidate, making it hard to defend hiring decisions. 

Given these examples, it’s easy to see that the risks of integrating AI tools into the hiring process can be complex and multifaceted. To reduce legal exposure and promote fair hiring, employers should consider the following: 

• Conduct Bias Audits 
  • Regularly evaluate AI tools for discriminatory impact. Use third-party experts if needed. 

• Use Inclusive Frameworks 
  • Resources like the DOL’s AI & Inclusive Hiring Framework, Disability Inclusion Toolkit and Equitable AI Playbook offer practical steps for compliance. 

• Train HR Teams 
  • Ensure HR staff understand how AI tools work, their limitations, and how to spot potential bias. 

• Establish Feedback Channels 
  • Allow candidates to report issues with AI screening. This not only builds trust but helps identify problems early. 

• Document Everything 
  • Maintain records of how AI tools are selected, configured, and monitored. This is critical if your hiring practices are ever challenged. 

AI can be a powerful ally in the hiring process if used responsibly. As an HR professional, you don’t need to be a tech expert, but you do need to know enough to ask the right questions, demand transparency, and stay informed about evolving legal standards. By taking a proactive approach to AI in the workplace, employers can harness AI’s benefits while protecting their workforce, and themselves, from unintended harm.