You are increasingly using AI to help shape your decisions about who gets hired, promoted, or even approved for a loan. But if your algorithm is biased, your organization could face lawsuits, regulatory scrutiny, and reputational damage. That’s why many businesses are retaining vendors to conduct AI bias audits: structured evaluations of whether systems are fair across protected groups. But here’s the challenge: not every “bias auditor” is equally qualified. To avoid wasted effort or an audit that won’t withstand scrutiny, you should carefully vet potential providers. Here are the key questions you should consider asking.
David J. Walton, AIGP, CIPP/US Co-Chair — AI, Data, and Analytics Practice Group Philadelphia dwalton@fisherphillips.com Usama Kahf, CIPP/US Co-Chair — AI, Data, and Analytics Practice Group Irvine ukahf@fisherphillips.com Erica Given Vice Chair — AI, Data, and Analytics Practice Group Pittsburgh egiven@fisherphillips.com
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