The argument
Algorithmic bias has six entry points; you'll learn to name all of them. The Chouldechova-Kleinberg result proves you can't satisfy all fairness definitions simultaneously — so we teach you which trade-off you're making. Privacy frameworks (GDPR, CCPA, CARE, OCAP) don't agree on first principles; you'll learn where they diverge and which one governs your actual data.
What you build with
5 interactive widgets
Sample from the live course
Bias Identifier
- 01Bias Identifier
- 02Fairness Simulator
- 03Bias Audit Workbench
- 04Privacy Classifier
- 05Consent Flow Designer
Bias, Privacy & Ownership
Core Ethics.
The artifact
Ethics Assessment
A structured bias, privacy, and ownership audit applied to a real system in your organization — with named trade-offs and a defensible recommendation.
Quiz preview
25 questions. 80% to pass.
Three sample questions in the same style. The live course has more — and they're harder than they look.
Question 01
Demographic parity, equal opportunity, predictive parity. Per Chouldechova-Kleinberg, how many can you satisfy simultaneously when base rates differ?
- a)All three
- b)Any two
- c)Only one
- d)None
Question 02
A training set under-represents a minority group. The bias most directly introduced is:
- a)Measurement bias
- b)Sampling bias
- c)Aggregation bias
- d)Evaluation bias
Question 03
Which framework treats data about a community as a collective, not individual, asset?
- a)GDPR
- b)CCPA
- c)OCAP
- d)HIPAA