{"id":5270,"date":"2026-03-04T20:34:05","date_gmt":"2026-03-04T20:34:05","guid":{"rendered":"https:\/\/shegerianconniff.com\/?p=5270"},"modified":"2026-03-04T20:34:05","modified_gmt":"2026-03-04T20:34:05","slug":"the-rise-of-ai-in-hiring-legal-risks-for-discrimination-bias","status":"publish","type":"post","link":"https:\/\/shegerianconniff.com\/dev\/the-rise-of-ai-in-hiring-legal-risks-for-discrimination-bias\/","title":{"rendered":"The Rise of AI in Hiring: Legal Risks for Discrimination & Bias"},"content":{"rendered":"

Have you applied for a job recently? Many employers and hiring agencies are now using AI to narrow down the pool of candidates. The World Economic Forum estimates that 88% of companies screen candidates with AI. Some even use AI for initial job interviews.<\/span><\/p>\n

While AI is faster, it\u2019s prone to mistakes. Worse, it may unintentionally create situations where bias and discrimination open the door to valid discrimination complaints. Whether you\u2019re a job applicant or company owner, it\u2019s important to understand California\u2019s laws regarding the use of AI in hiring<\/a>.<\/span><\/p>\n

Unintentional Bias Is Too Common With AI<\/span><\/h3>\n

Developers must share information regarding what their AI tools look for when making decisions. Still, unconscious bias is possible. Computers can only do what they\u2019re told to do through the lines of code and training data. If the training data included unconscious bias, that same bias passes down to AI for decision-making.<\/span><\/p>\n

A University of Washington study found that large-language model-driven AI showed the following biases:<\/span><\/p>\n