AI safety and ethics
This subject contains one area of broad agreement and one of sharp disagreement. Present harms are documented and largely uncontested; long-term risk is genuinely disputed. This course keeps the two separate.
What you'll learn
10 chapters, then the quiz
- 01Two conversationsKeeping them apart.
- 02Bias and fairnessLearned from the past.
- 03Transparency and explanationJustifying a decision.
- 04AccountabilityWho answers for it.
- 05Harms happening nowThe uncontested list.
- 06The alignment problemGetting what you meant.
- 07MisuseCapability is neutral, use is not.
- 08Long-term riskThe honest state of the argument.
- 09RegulationA moving picture.
- 10Working responsiblyWhat an individual can do.
More ai & data tests
See all →- Easy
Understanding AI
What machine learning actually does, what a language model is, and where both fall down.
8 questions7 min - Medium
Data analysis
Averages, spread, correlation and the traps that make numbers say the wrong thing.
8 questions7 min - Medium
Machine learning basics
Training, testing and the workflow behind a model that actually works.
8 questions8 min