Human Oversight for AI: Governance, Fairness & EU AI Act

About this course

This course contains the use of artificial intelligence.

Transform from a passive AI user into an expert AI Governance Leader who safely deploys, audits, and manages high-stakes artificial intelligence systems.

Who this course is for:

• AI Product Managers and Tech Leads deploying machine learning models in production.
• Risk, Compliance, and Legal Professionals responsible for corporate governance and regulatory compliance.
• Data Scientists and ML Engineers who want to operationalize fairness, transparency, and oversight.
• Business Executives and Consultants seeking to mitigate ethical and operational risks associated with enterprise AI adoption.

What you will learn:

• Operationalize human-in-the-loop (HITL) workflows to safeguard enterprise AI deployments
• Eliminate automation bias and establish blind review mechanisms for human oversight
• Design audit-ready transparency logs that satisfy regulatory compliance requirements
• Implement fair decision thresholds that eliminate demographic and algorithmic bias
• Build dynamic AI governance systems that adapt to regulatory changes and model drift
• Establish clear accountability frameworks for AI-assisted organizational decisions
• Audit black-box model predictions using practical interpretable evaluation tools
• Apply responsible AI principles across real-world enterprise case studies

Requirements:

• Basic understanding of how AI models are used in business or technical contexts.
• No programming or advanced mathematics experience required.

Final Project: Build a complete enterprise-grade AI Governance Blueprint. You will select a real-world high-risk AI deployment scenario (such as automated hiring, financial loan processing, or medical tr

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