AI Ethics Basics: Fairness, Transparency and Accountability
Ethical AI is practical work: testing, explaining and owning outcomes.
Fairness
Test whether results differ across groups and fix gaps.
Transparency
Tell people when AI is used and how decisions are made.
Accountability
A named person should own each AI system.
- Document purpose.
- Log decisions.
- Provide appeals.
Start small
Practical steps.
- Write principles.
- Review high-risk uses.
- Train staff.
Key takeaway: Test for fairness, be open about AI use and assign clear ownership.
