Trusted AI & Governance

Cover data classification, privacy (PDPA), human-in-the-loop, AI output review and practical risk controls so the organization can move on AI safely and accountably. Suitable for: organizations starting to use generative AI across several departments, factories and organizations with regulations or sensitive data, and agencies that want a standard before building AI Problems solved: staff using public AI without clear data rules, no owner when AI gets it wrong, and projects without an audit trail or vendor assessment standard Content and case studies can be tailored to your organization's brief.

What you'll learn and do

• AI policy and acceptable use
• Data classification and prompt/document handling
• Human-in-the-loop and AI output review
• Incident, vendor, access and audit log framework

What you leave with

• An AI governance framework
• A policy and control checklist
• A risk and responsibility matrix