What you will learn

• Build Ethical and Accountable AI: Define fairness, transparency, accountability, and human oversight across the AI lifecycle.

• Detect and Mitigate Bias: Evaluate datasets and models, apply mitigation techniques, and monitor equity outcomes.

• Operationalize AI Governance: Create review processes, documentation, policies, and controls for responsible AI use.

• Manage Risk, Privacy, and Security: Conduct AI risk assessments, address data protection, and plan for incidents and model drift.