A free university course that works through the big ethical questions raised by AI, such as who is accountable when AI causes harm, how transparent systems should be, and what fairness means. Each chapter pairs short readings with written exercises that are peer reviewed.
A single enrolment that adds all four IATD AI microskills: Introduction to AI, Generative AI and its Business Applications, Responsible AI and Introduction to Agentic AI. It is the easiest way to work through a complete, free AI literacy pathway in one sitting or over a few weeks.
Objectives
Explain what AI ethics covers and why it matters in practice
Reason about harm, accountability and blame when AI is involved
Weigh arguments about transparency and explainability
Apply ideas of human rights and fairness to AI use cases
Consider how AI ethics is likely to develop in organisations
Build a plain-English understanding of AI and machine learning
Apply generative AI to routine business tasks
Use AI responsibly with attention to ethics and governance
Understand agentic AI and how to govern it
Things to know
No total study time is stated by the provider
Passing needs 90 per cent of exercises done, a final assignment and peer reviews, which can take weeks to come through
ECTS credits require Open University of Helsinki enrolment
Free MOOC.fi account needed
Duration is estimated as the midpoint of the four courses' stated hours (2.5 + 3 to 5 + 2 + 2 to 3), about 9.5 to 12.5 hours in total
Certificates are issued per course on completing all modules and the feedback activity
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