Ethics of AI review
University of Helsinki · elements-of-ai
A free, no-code course on fairness, accountability and transparency in AI systems.
What does it take?
| Difficulty | 1 out of 5 |
|---|---|
| Hours | Not checked yet |
| Format | Reading, Interactive exercises |
| Maths needed | No maths |
| Coding needed | No code |
| Hardware needed | Not checked yet |
| Certificate | Free certificate |
| Free to audit | Yes |
| Pace | Self-paced |
| Last updated by the provider | Not checked yet |
Who should take it, and who should skip it?
Take it if you are
- Managers and policymakers
- Anyone who finished Elements of AI
Skip it if you are
- People who want technical fairness methods in code
What will you be able to do after it?
- Explain the main ethical frameworks for AI
- Spot fairness and transparency problems
- Discuss accountability with confidence
What's in each module?
| Module | What it 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 we liked, and what we didn't
What we liked
- No code
- Thoughtful, well-written material
- Free certificate
What we didn't
- Mostly reading
- Not technical
What should you take before it?
Nothing. This is a starting course: you need no AI or coding background.
What should you take after it?
- AI For Everyone
Andrew Ng's non-technical primer on what AI is good for and how to plan around it at work. It takes 7 hours on Coursera, and the certificate is paid.
How we rated it: 7.9 out of 10
| Criterion | Score out of 10 |
|---|---|
| Clarity | 8 |
| Hands-on practice | 4 |
| Up to date | 7 |
| Depth | 7 |
| Truly free | 10 |
So should you take it?
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.
Where to go next
- AI learning path for non-coders
A learning path that includes Ethics of AI.
- Elements of AI: our platform review
What else it offers, and what costs money.
- Elements of AI
The gentlest way in: a University of Helsinki course with no code and no maths beyond school level. It takes about 24 to 48 hours and the certificate is free.
- Generative AI for Everyone
What large language models can actually do for you and your team, without writing a line of code. Andrew Ng teaches it in 6 hours on Coursera, certificate paid.
- AI for Beginners
A 24-lesson open curriculum on GitHub covering classic AI, ML and a little deep learning.
Last checked .
Not sure this is the one?
Answer two questions and we'll point you to the course that fits where you are today.