Description
This course helps organisations manage the accuracy, privacy, intellectual-property, fairness and accountability risks associated with workplace AI. Participants learn to evaluate AI use cases and develop practical organisational guardrails.
Learning Objectives
Participants will be able to:
1. Identify major operational, legal and ethical risks associated with AI.
2. Apply appropriate confidentiality and data-handling practices.
3. Evaluate AI-generated outputs for accuracy, bias and transparency.
4. Define human oversight and accountability requirements.
5. Develop practical AI governance rules for employees.
Suitable for
Management, compliance, risk, legal, IT, cybersecurity, HR, procurement, data-governance teams, department heads and organisational AI champions.
Key Contents
Module 1: Responsible AI Risk Landscape
Module 2: Data Privacy and Confidentiality
Module 3: Accuracy, Hallucination and Human Oversight
Module 4: Bias, Fairness and Transparency
Module 5: Copyright, Intellectual Property and Third-Party Risk
Module 6: Building an AI Governance Framework
Module 7: Governance Scenario and Policy Workshop
Methodology
- Interactive and Engaging Learning
- Video/Audio presentations
- Brain-friendly Interactive Lecture
- Practical Exercises
- Group Activities
- Role Play
- Case Studies
Certificate of Completion will be provided.
Training Materials will be provided.
Training Method: Face To Face (Public)
*This course is convertible to online training upon request.
