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AI Ethics - IBM
What you’ll learn
After completing this course, you should be able to:
- Identify the five pillars of AI ethics
- Describe fairness in AI
- Describe protected attributes
- Identify privileged groups and unprivileged groups
- Explain AI bias
- Identify robustness
- Describe adversarial robustness within AI
- Explain how an adversary can influence an AI system
- Identify adversarial attacks
- Describe explainability
- Compare interpretability and explainability
- Define transparency
- Describe governance
- Identify the business roles and the aspects of transparency they are involved in
- Identify personal information
- Identify sensitive personal information
- Recognize model anonymization
- Describe differential privacy
- Explain data minimization
Resource details
| Contributed by: | Generative AI |
| Authored by: |
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| Licence: | More information on licences |
| First contributed: | 11 July 2025 |
| Audience access level: | Full user |
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