Source: JD Supra

As the use of artificial intelligence (AI) in recruitment processes continues to grow, concerns about bias in AI-driven hiring have become more urgent. This article outlines ten focus areas that companies should prioritize to avoid AI bias in their hiring practices.

The key areas include ensuring transparency in AI algorithms, conducting regular audits to identify discriminatory patterns, and involving human oversight in final hiring decisions. The article also emphasizes the importance of using diverse training data to prevent bias from being baked into AI models and applying fairness checks to ensure that AI systems do not disproportionately exclude certain groups based on race, gender, or other protected characteristics.

Other focus areas include compliance with existing anti-discrimination laws, such as the Equal Employment Opportunity Commission (EEOC) guidelines, and adopting clear documentation practices to demonstrate how AI decisions were made. By focusing on these areas, companies can reduce the risk of bias in AI-driven hiring processes and ensure fair treatment for all job candidates.