The Digital Press

A study found that most people fail to notice racial bias in AI training data, which can lead to AI systems misclassifying emotions based on race. This bias emerged because the AI was trained with mostly happy white faces and mostly unhappy Black faces.

Why it matters: People’s inability to spot AI bias may cause them to trust flawed AI outputs without questioning underlying data issues.

The big picture: AI systems can inadvertently learn harmful stereotypes from unrepresentative data, perpetuating social biases.

The stakes: Misclassifying emotions by race can reinforce racial stereotypes and harm minority groups in AI-driven applications.

Commenters say: Many note AI merely reflects societal biases in data, questioning if this is true AI bias or a reflection of human perception.