AI is making more decisions about people’s lives than ever before. Like who gets a loan, which insurance rates apply, and even who sees a job posting. But when these algorithms aren’t checked for bias, they can end up reinforcing discrimination rather than eliminating it. That’s where FairPlay comes in. The Los Angeles-based Fairness-as-a-Service company has just secured $10 million in funding from Infinity Ventures, JPMorganChase, and Nyca Partners to help financial institutions and other businesses ensure their AI-driven decisions are fair and unbiased.
This funding comes as FairPlay reports a threefold increase in business in 2024, a clear sign that companies are realizing the need to audit their algorithms for hidden biases. AI-powered decision-making is the future, but without proper safeguards, it risks repeating the mistakes of the past.
Why AI Bias Is a Problem
AI promises efficiency and objectivity, but in reality, it learns from historical data which means it often replicates historical discrimination. A biased AI model could deny loans to minority applicants at higher rates, set unfair insurance premiums, or systematically exclude certain demographics from financial opportunities. These aren’t theoretical concerns; real-world examples of AI bias have already led to lawsuits and regulatory crackdowns.



