Beginner · Responsible AI & Security
NEWB3Responsible AI & AI Governance Essentials
Adopt AI with confidence by putting practical, fit-for-purpose guardrails in place.
Who it's for
Managers, risk and compliance officers, legal, HR, IT governance professionals, and AI project owners. No technical background required.
You'll walk away with
A draft AI acceptable-use policy and a risk assessment for one real AI use case
Understand the key risks of AI and put practical governance in place for your organization.
Format
- Lectures + case studies + policy workshop
Assessment
Pre- and post-tests; policy and risk-assessment workshop
Tools & platforms
- AI inventory templateAI impact assessment toolkit
Programme Curriculum
What you'll be able to do
- Identify key AI risks: bias, hallucination, privacy, security, intellectual property, and transparency
- Map organizational practices to widely used AI risk-management and governance approaches
- Explain the evolving AI regulatory and data-protection landscape and what it means for your organization
- Conduct an AI risk assessment and draft an acceptable-use policy
Your learning journey
Module 1
AI Risk Foundations
- How AI FailsBias and fairness; hallucination; model drift; over-reliance and automation bias
- Privacy, Data Protection & IPPersonal data and consent; data minimization; data-protection obligations; copyright and content provenance
Module 2
Frameworks & Regulation
- AI Risk ManagementGovern, map, measure, and manage AI risk; AI management systems
- Regulation & PrinciplesRisk-based approaches to AI regulation; principles for trustworthy AI
Module 3
Governance in Practice
- Operating Responsible AIAI inventory and risk tiering; AI impact assessment; human oversight; roles and accountability
- Third-Party & Vendor AIDue diligence for AI vendors; contract clauses; ongoing monitoring
Module 4
Governance Workshop
- Policy & Risk StudioDraft an AI acceptable-use policy; assess a real use case; group presentation and feedback