Ethics of AI (University of Helsinki)
A free, self-paced online course from the University of Helsinki on the ethics of AI: non-maleficence, accountability, transparency, human rights, fairness and putting ethics into practice. No maths or coding needed.
Course
AI & Machine Learning
University of Helsinki
Self-paced, seven chapters
Beginner
Free
What it is
Ethics of AI is a free online course created by the University of Helsinki for anyone interested in the ethical side of artificial intelligence. It is self-paced, written in plain language and needs no technical background, which makes it a good starting point for both engineers and people coming from law, policy or business.
What it covers
Seven chapters:
- An introduction to AI ethics and why it matters.
- Non-maleficence: what it means for AI to do no harm.
- Accountability: who is responsible when an AI system causes harm.
- Transparency and explainability.
- Human rights and AI.
- Fairness and non-discrimination.
- AI ethics in practice: turning principles into action.
Each chapter mixes reading with exercises that ask you to reason through cases rather than memorise definitions.
Why it is useful for AI governance
Every framework you will meet later, from the OECD AI Principles to the EU AI Act and ISO/IEC 42001, is built on the ideas in this course: accountability, transparency, fairness, harm prevention and human rights. Governance work is the practical, documented version of these ethics. Learning the reasoning first means the frameworks feel like tools to apply rather than lists to memorise. The final chapter on practice is particularly close to governance work.
Who it is for
- Students and early-career people from any background who are curious about responsible AI.
- Engineers who want the vocabulary to talk to legal, risk and policy colleagues.
- Policy and compliance people who want the ethical foundations behind AI rules.
How to use it
Do one chapter a week alongside the AI governance roadmap, and after each chapter write a short note on how you would turn the principle into a control with evidence. For example, accountability becomes a named owner for every system in your AI inventory.
Free or paid?
Free.
Ready to start?
Opens on University of Helsinki in a new tab.
Stuck on something specific?
Writing only gets you so far. If you want an answer to your situation rather than the general case, book a session and we will work through it together. Sessions are free for approved Sefism members, and a few slots open each week.
Follow along
New writing, resources and project ideas land here first.