Responsible AI Foundations

Overview

AI is transforming organizations, but its risks can outweigh its benefits without strong governance. Responsible AI Foundations provides the essential knowledge and tools to manage AI responsibly across its lifecycle.

Before learning how to build scalable governance systems aligned with business goals, legal requirements, and risk strategy, you'll begin by understanding the foundations of responsible AI, covering ethics, data management, and compliance. Develop skills in data stewardship, including sourcing, licensing, and validating data, as well as identifying and mitigating security threats.

Syllabus

• AI Ethics
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
• Artificial Intelligence Governance
Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.
• AI Security and Risk Management
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
• Responsible AI Data Management
Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

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Taught by

Joe Franklin, Maria Prokofieva, Angeline Corvaglia, Simla Sivanandan, and Alexandre T'Kint

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Subjects

Computer Science