Responsible AI: Transparency & Ethics
Completed by Dragan Milosevic
August 31, 2025
3 hours (approximately)
Dragan Milosevic's account is verified. Coursera certifies their successful completion of Responsible AI: Transparency & Ethics
What you will learn
Identify common sources of bias in AI systems and apply tools to assess and mitigate them.
Implement explainability methods, such as SHAP and LIME, to interpret and effectively communicate model behavior.
Develop a responsible AI checklist aligned with transparency and fairness principles and apply it to AI projects to ensure ethical compliance.
Evaluate AI projects for potential ethical risks and ensure alignment with compliance frameworks, such as the NIST AI RMF.
Skills you will gain
- Category: Model Evaluation
- Category: Responsible AI
- Category: Risk Management Framework
- Category: Auditing
- Category: Governance
- Category: Artificial Intelligence
- Category: AI Workflows
- Category: Mitigation
- Category: Data Ethics
