concept:intersectional-slices
Intersectional Slices
Intersectional Slices in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Governance, fairness, privacy & security
Fairness definitions, slices, thresholds, tradeoffs
Fairness work makes the chosen harm, comparison, uncertainty, and policy tradeoff explicit for every affected slice.
Governance, fairness, privacy & securityPrivacy minimization, retention, federated learning, DP
Privacy engineering reduces what the entire system can learn and retain about one protected unit over time.
Governance, fairness, privacy & securityPoisoning, evasion, extraction, and LLM threats
Models can propose; trusted code, identity, and policy must decide what the system is allowed to read, change, or reveal.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.