- Level Beginner
- Ratings
- Duration 10 hours
- Course by Saïd Business School, University of Oxford
- Total students 3,175 enrolled
-
Offered by
About
As AI systems become more powerful and embedded across industries, the need for effective governance is no longer optional – it’s essential. This course explores how organisations can ensure that AI tools are not only effective but also safe, fair, and accountable throughout their lifecycle.
You’ll learn to identify key risks such as bias, misalignment, and overreliance, and explore why even well-intentioned AI systems can fail. From ethical frameworks to incident response plans, this course provides practical tools to embed trust into every stage of AI development and deployment. Using real-world scenarios and governance models like the Trustworthy AI Cycle, you’ll examine how principles such as transparency, oversight, and explainability can be operationalised in business settings.
Whether you're selecting vendors, building internal systems, or crafting policy, this course equips you to lead AI implementation with integrity. With case studies, strategic frameworks, and implementation guidance, you’ll leave with a roadmap for aligning AI systems with legal, ethical, and societal expectations.
This is the third course in the AI Foundations for Business Professionals specialisation. To get the most out of this course, we recommend completing AI Essentials and Generative and Agentic AI beforehand to build both the technical understanding and applied context for responsible AI leadership.
Skills you learn
- Governance
- Ethical Standards And Conduct
- Risk Management
- Data Ethics
- Business Ethics
- Compliance Management
- Enterprise Risk Management (ERM)
- Artificial Intelligence
- Data Governance
- Generative AI Agents
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Leadership
- Governance Risk Management and Compliance
- Business Risk Management
- Law
- Regulation
- and Compliance
- Information Privacy
- Information Management
- Generative AI
- Accountability
- Agentic systems
Modules
Untitled Lesson
2
Readings
- Your Learning Journey
- Digital Notebook
Why Ethics?
1
Discussions
- Ramifications of the Ethical Dilemma
1
Videos
- Why Ethics is Essential for Safe and Compliant AI Systems
2
Readings
- The Business Case for AI Ethics
- Research and Reflect
Core Ethical Principles of AI
2
Readings
- Build a Podcast on Core AI Ethics Principles
- Reflect
Review, Reflect, and Test Your Knowledge
1
Assignment
- Test Your Knowledge
1
Readings
- Review and Reflect
Failure Modes
1
Readings
- Blind Spots
Review, Reflect and Test Your Knowledge
1
Assignment
- Test Your Knowledge
1
Readings
- Review and Reflect
The Trustworthy AI Cycle
1
Videos
- The Trustworthy AI Cycle
Key Questions for AI Trustworthiness
Review, Reflect, and Test Your Knowledge
1
Assignment
- Test Your Knowledge
1
Discussions
- Review and Reflect
The Buy-versus-Build Trade-Off
2
Readings
- Buy or Build?
- Buy or Build? Reflect on Your Context
Risk Management
2
Readings
- Risk Management
- Reflect on Your Context
Good Practices for AI Implementation
1
Assignment
- Knowledge Check
1
Videos
- Good Practices for AI Implementation
1
Readings
- Four Good Practices
Review, Reflect, and Test Your Knowledge
1
Assignment
- Test Your Knowledge
Course Summary
2
Readings
- Key Takeaways and Reflections
- Bibliography and Further Reading
Test Your Knowledge
1
Peer Review
- Governance Review
2
Readings
- Written Assignment Information
- Next Steps
Matthias Holweg