concept:equalized-odds
Equalized Odds
Equalized Odds in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Governance, fairness, privacy & security
Inventory, risk tiers, accountability, evidence
Use inventory, risk tiers, accountability, evidence to move the responsible ml production brief toward a defensible release.
Governance, fairness, privacy & securityFairness definitions, slices, thresholds, tradeoffs
Use fairness definitions, slices, thresholds, tradeoffs to move the responsible ml production brief toward a defensible release.
Governance, fairness, privacy & securityPrivacy minimization, retention, federated learning, DP
Use privacy minimization, retention, federated learning, dp to move the responsible ml production brief toward a defensible release.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.