Trusted AI & Governance
ใช้ AI อย่างปลอดภัยและรับผิดชอบ · Mixed
RoomLecture Room
Max participants5 people
Duration1 day · 6 hrs
Partner course · Run with Top Growth Studio
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
Taught by
Related courses
T2B-AI-101
Enterprise AI for Leaders
T2B-AI-102
AI Office Transformation
T2B-AI-103
AI for Effective Meetings
T2B-AI-104
