Responsible AI: Global Risks, Governance, and Human Oversight
With United Nations University and Microsoft
Liked by 40 users
Duration: 1h 39m
Skill level: General
Released: 4/2/2026
Course details
As AI systems become widely deployed and increasingly influential, organizations and individuals face growing risks—from model failures and bias to regulatory conflicts and misinformation. Understanding how to navigate these challenges requires more than technical knowledge.
In this course, get a practical, globally informed overview in AI risks, governance models, and responsible use. Using real examples, you'll learn to recognize failure patterns, assess explainability gaps and data privacy risks, and maintain human oversight in high-stakes decisions. Along the way, develop the literacy to know when not to use AI tools and how to evaluate AI systems against global governance standards.
This course features Professor Arisa Ema of the University of Tokyo—one of Japan's leading experts on AI governance and a renowned contributor to national AI policy councils.
This course was created by Microsoft and United Nations University. We are pleased to host this training in our library.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructors
Learner reviews
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Attlee GAMUNDANI
Attlee GAMUNDANI
Cybersecurity & AI Ethics Leader | Associate Professor | IoT Advocate | Researcher Driving Sustainable Tech Solutions for Africa’s Future| PhD in…
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Contents
What’s included
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone