bias
2 free lessons tagged bias across AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Running the Audit and Acting on What It Finds
An audit is only useful if it produces a decision. This lesson covers the audit sequence end to end, the three families of mitigation and what each costs, why some findings cannot be fixed at the model layer, documenting a trade-off you can defend, and monitoring for the drift that reopens a closed finding.
What Bias Means, and Where It Enters
The word bias carries three unrelated meanings that get argued past each other. This lesson separates them, then traces the six points where disparity enters a machine learning system, from historical data through label definition and objective choice to deployment, and explains why removing a protected attribute does not remove its influence.