House Democrats just wrapped a press briefing focused on artificial intelligence bias. The core message? "AI reflects every bias and every inequality and inequity embedded in our systems."

The session highlighted growing concerns about how machine learning models perpetuate existing societal disparities. Lawmakers emphasized that algorithmic decision-making in finance, hiring, and content moderation often amplifies historical prejudices rather than eliminating them.

This debate isn't new to the crypto space either—decentralized protocols claim to remove human bias, but data fed into smart contracts can carry the same flaws. Whether it's traditional AI or blockchain-based systems, the question remains: how do we build fairer tech when the training data itself is skewed?