Learn what responsible AI actually means in day-to-day IT delivery — data privacy, bias, transparency and human oversight — and why governance should be lightweight but explicit. Build an AI-use risk assessment you can run before adopting any new AI tool, so you catch the obvious harms before they become incidents.
Watch the free preview
The risks of ungoverned AI adoption — free to watch, no account needed.
What you'll learn
- Explain the main risks of ungoverned AI adoption — data leakage, biased outputs and over-reliance without human review
- Describe the four responsible-AI dimensions of data privacy, bias, transparency and human oversight
- Summarise the NIST AI Risk Management Framework and the EU AI Act at a high level
- Run an AI-use risk assessment before adopting a new AI tool or use case
- Produce a one-page AI-Use Risk Assessment Checklist for your team
Syllabus
Why AI Governance, and What Responsible AI Really Means
The risks of ungoverned AI adoptionFree preview
What responsible AI means — four practical dimensions
Frameworks and the AI-Use Risk Assessment
The frameworks — NIST AI RMF and the EU AI Act
The AI-use risk assessment in depth
Applying Responsible AI to Real IT Work
Responsible AI in day-to-day delivery
Case study — confidential data in a public AI tool
Making Responsible AI Stick
Building your AI-Use Risk Assessment Checklist
Common traps and anti-patterns to avoid