Integrating ethical risk management (bias, safety, privacy) across the AI lifecycle

In this pathway, you will learn a practical approach to integrating assessment, mitigation, and governance of bias, safety, and privacy risks across AI design, development, deployment, and ongoing monitoring.

After completing this Pathway, you will be able to:

• Evaluate ethical risks using lifecycle checkpoints, evidence, and measurable fairness, safety, and privacy criteria
• Implement mitigations and governance controls, including privacy-by-design, safety guardrails, approvals, and post-deployment monitoring