Artificial intelligence is moving fast. Businesses across every industry are adopting generative AI tools to write content, screen job applications, approve loans, and even make medical decisions. But as these tools grow more powerful, a serious problem is growing alongside them — bias. When a hiring algorithm consistently ranks candidates of one gender lower, or when a loan model approves fewer applications from certain zip codes, that is not just a technical glitch. It is a fairness problem. And in today’s regulatory environment, it can also become a legal one.…
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