Responsible AI (RAI) is not just a buzzword, rather it is the guiding principle that ensures AI technology works for society as a whole. When organizations develop and deploy AI systems in line with RAI principles, they not only build trust but also unlock innovative solutions that truly serve society. This eCourse describes RAI in detail, including the key principles required for responsible AI development and the type of governance framework that organizations need to put in place.

On completion of this eCourse, you will be able to:
- Identity the key principles of responsible AI and the steps that organizations can take to implement them in practice
- Recognize the importance of having an AI governance framework and the key elements of such frameworks

Responsible AI
Topic 1: Responsible AI (RAI)
Topic 2: Reliability & Safety
Topic 3: Fairness & Inclusivity
Topic 4: Accountability
Topic 5: Transparency
Topic 6: Security & Resilience
Topic 7: Sustainability
Topic 8: AI Governance Framework