Ethical Considerations for Generative AI
IBM SkillsBuild
Last updated June 19, 2026
Ethical Considerations for Generative AI is a 90-minute lesson from IBM SkillsBuild about the responsibilities of creating content with generative AI. It is organized around three pillars — transparency, accountability, and fairness — and works through two places ethical problems arise: the data that goes into a model and the content that comes out of it. You look at the risks hidden in training data, the questions raised by AI-generated material, and how to manage both, finishing with a simulation that explores the IBM AI Risk Atlas, a reference for understanding the risks of generative AI, foundation models, and machine-learning models. It is a thinking-and-judgment course rather than a build.
What you'll learn
- The three ethical pillars: transparency, accountability, and fairness
- Ethical risks that arise from the data fed into a generative AI model
- The ethical implications of managing AI-generated content
- A simulation exploring the IBM AI Risk Atlas
Frequently asked questions about Ethical Considerations for Generative AI
Who is Ethical Considerations for Generative AI for?
Anyone using generative AI to create content who wants to understand how to do so responsibly.
Is Ethical Considerations for Generative AI free?
Yes — Ethical Considerations for Generative AI is completely free to take.
What are the prerequisites for Ethical Considerations for Generative AI?
None; no programming required. Starting the course needs a free IBM account.
Why we suggest this course
For anyone using generative AI to produce content who wants to do it responsibly, not just quickly. It's concrete where ethics discussions often stay vague — separating the problems in the data you feed a model from the problems in what it produces — and the closing tour of the IBM AI Risk Atlas points you to a resource you can keep using. It's free, with a free IBM account.