Familiarity with a business process or AI use case will make the reflection exercise more concrete.
About this course
Explore responsible AI through risk-based architecture, explainability, governance and organizational trust. This free IBM video course brings together six complementary discussions about oversight of AI systems and agents. The goal is to help learners ask better review questions, not to provide legal advice or a compliance certification.
What you can learn
- AI ethics
- Risk-based design
- Explainability
- Agent governance
- Monitoring responsibilities
- Organizational trust
Course at a glance
| Provider | IBM |
|---|---|
| Platform | YouTube · IBM Technology |
| Access | Free Video |
| Level | Beginner — WikiFree audience assessment |
| Language | English |
| Selected lessons | 10 |
| Video duration | 1h 19m · allow extra time for reflection and practice |
| Details checked | 9 October 2026 |
Inside the course
Connect the risk of an AI use case to its architecture and oversight needs. Examine explainable decisions, governance pillars and monitoring, then consider how culture and trust shape responsible use.
Try this learning exercise
Create a one-page review for a fictional AI recommendation tool. Identify affected users, plausible failures, responsible owners, explanation needs and a process for reviewing unexpected outcomes.
How to follow the course
Choose a lesson from the list or search for a specific topic. Use Previous and Next to continue, and mark lessons complete as you go. Progress is saved in this browser without a WikiFree account.
Each course retains its relevant lessons, including videos also used in another course. Numbered series follow their original lesson or part order. Only reviewed advertisements, unrelated items and identical repeated playlist entries are excluded. Source recordings may have been made at different times.
Unavailable recordings are listed in Course content. Known lesson titles are retained; when the source hides a title or position, this is stated explicitly. Unavailable videos are not included in the video duration.
Free access, requirements and certificates
The selected public YouTube videos are free to watch. No paid subscription, payment card or examination is required for this video learning path. WikiFree independently organizes IBM Technology explainers and tutorials for self-paced study. This listing is not an official IBM qualification and does not include an IBM certificate, graded assignment or instructor feedback.
No coding is required. Familiarity with a business process or AI use case will make the reflection exercise more concrete.
Official IBM Technology playlist source ↗
Use this course in a learning path
- Responsible AI Analyst Career Path: Courses and Portfolio ProjectResource 01
- Free Responsible AI Review Learning PathCourse resource in this path
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Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free Responsible AI Course: Ethics, Risk and Governance | Beginner | AI ethics · Risk-based design · Explainability | 1h 19m of video; practice time is additional |
| Google Responsible AI: Free AI Principles Course | Beginner | Ethical issue spotting · Responsible innovation · AI governance awareness | About 2 hours; provider estimate |
| Free MIT Course: Fairness and Ethics in Machine Learning | Intermediate | Introduction to Ethics in Machine Learning · USAID Appropriate Use Framework, Exploring Fairness in Machine Learning · Fairness Criteria, Exploring Fairness in Machine Learning | 1h 16m of video; practice time is additional |
| Free Responsible AI Course: Image and Text Model Review | Intermediate | Explore responsible AI support across two model types · Compare review needs for image and text inputs · Record limitations alongside model results | 25m of video; practice time is additional |
Provider: IBM. Videos play from the IBM Technology channel on YouTube.
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