# Ethics of AI

Source: https://freeaicourses.com/courses/ethics-of-ai
Last checked: 2026-09-15

## Who it is for

- Managers and policymakers
- Anyone who finished Elements of AI

## Who should skip it

People who want technical fairness methods in code

## What you can do afterwards

- Explain the main ethical frameworks for AI
- Spot fairness and transparency problems
- Discuss accountability with confidence

## What the course covers

- What is AI ethics?: Why ethics matters for automated decisions.
- Fairness and transparency: How bias creeps in and how to make systems explainable.
- Accountability and human rights: Who is responsible when AI gets it wrong.

## What works

- No code
- Thoughtful, well-written material
- Free certificate

## What does not

- Mostly reading
- Not technical

## Take before

Nothing. This is a starting course: you need no AI or coding background.

## Take after

AI For Everyone

## Verdict

The obvious companion to Elements of AI. If you'll be responsible for how AI is used at work, this gives you a proper framework rather than a list of scary headlines.

## Related pages

- [AI For Everyone](https://freeaicourses.com/courses/ai-for-everyone)
- [Elements of AI](https://freeaicourses.com/platforms/elements-of-ai)
- [AI learning path for non-coders](https://freeaicourses.com/paths/ai-for-non-coders)
- [All free AI courses, rated](https://freeaicourses.com/courses)