2.3 · Internal AI Governance Frameworks
Perspective: Joy Buolamwini on Algorithmic Bias
7 minCourse 02
Joy Buolamwini, founder of the Algorithmic Justice League, discovered as an MIT researcher that commercial facial-recognition systems consistently failed to detect her face — until she put on a white mask. This talk is her account of how biased training data produces biased systems. It's an outside perspective on why governance matters, not a governance how-to — but it makes the stakes concrete.
Watch For
Every failure Buolamwini describes is a governance failure before it is a technical one: unrepresentative data nobody audited, systems shipped without bias testing, nobody accountable for outcomes. As you watch, ask which part of the governance architecture from this section would have caught each problem.
