\( \newcommand{\vect}[1]{\mathbf{#1}} \newcommand{\mat}[1]{\mathbf{#1}} \newcommand{\R}{\mathbb{R}} \newcommand{\E}{\mathbb{E}} \newcommand{\Prob}{\mathbb{P}} \newcommand{\T}{^{\top}} \newcommand{\norm}[1]{\lVert #1 \rVert} \newcommand{\abs}[1]{\lvert #1 \rvert} \newcommand{\ihat}{\mkern1mu\hat{\boldsymbol{\imath}}\mkern2mu} \newcommand{\jhat}{\mkern1mu\hat{\boldsymbol{\jmath}}\mkern2mu} \newcommand{\pd}[2]{\frac{\partial #1}{\partial #2}} \newcommand{\argmax}{\operatorname*{arg\,max}} \newcommand{\argmin}{\operatorname*{arg\,min}} \newcommand{\cdata}[1]{\class{c-data}{#1}} \newcommand{\cmodel}[1]{\class{c-model}{#1}} \newcommand{\ctruth}[1]{\class{c-truth}{#1}} \newcommand{\cgrad}[1]{\class{c-grad}{#1}} \newcommand{\closs}[1]{\class{c-loss}{#1}} \newcommand{\cparam}[1]{\class{c-param}{#1}} \newcommand{\csecond}[1]{\class{c-second}{#1}} \renewcommand{\,}{\mkern3mu} \)

R01 · Ethics, Fairness and Bias

A free, illustrated L1 to L2 course of 8 modules in the Responsible AI track. Modules include: How ML systems cause harm; Sources of bias across the lifecycle; Fairness definitions and their conflicts.

R01 L1 to L2 · Core to Intermediate 8 modules · about 32 lessons Planned · Ring 3

Part of the Responsible AI track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

1. How ML systems cause harm
2. Sources of bias across the lifecycle
3. Fairness definitions and their conflicts
4. Measuring fairness
5. Mitigation methods
6. Case studies
7. Human-centered design
8. Professional responsibility

Signature illustrations

The pictures a learner should still see in their head a year later:

A map of where bias enters the pipeline, trade-offs between fairness metrics, ROC curves by group.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.