Responsible AI (Malaysia AICE) Fundamentals Training
A one-day fundamentals programme on Malaysia AICE. Learn how to put responsible AI principles into practical business processes using Malaysia's voluntary AI Code of Ethics. Participants work through practical examples and a guided case before drafting actions for their own organisation.
Who should attend: AI owners, operations managers, product, governance, procurement and compliance teams. No prior framework knowledge is required.
HRD Corp claim support available
Programme Agenda
9:00 AM to 10:00 AM
What AICE Is For
Introduce the voluntary AI Code of Ethics as a practical bridge from Malaysia's seven AI principles to implementation. Distinguish an ethical commitment from an operating process and from a mandatory legal requirement.
10:00 AM to 10:15 AM
Break
10:15 AM to 11:30 AM
Putting People and Ownership First
Identify accountable owners, users and affected people. Define responsibilities for decisions, human review, complaints and withdrawal when an AI use causes unacceptable effects.
11:30 AM to 12:30 PM
Responsible Design and Procurement
Translate intended use, limitations, data handling and fairness concerns into project and supplier questions. Record assumptions and approval conditions before a pilot becomes routine business practice.
12:30 PM to 1:30 PM
Lunch
1:30 PM to 2:45 PM
Testing and Deployment Decisions
Choose proportionate checks, disclosures and escalation arrangements. Consider evidence, unresolved concerns and safeguards when deciding whether to approve, restrict or defer deployment.
2:45 PM to 3:00 PM
Break
3:00 PM to 4:00 PM
Operational Governance
Introduce monitoring, incident handling, change review and staff awareness as working practices. Connect policy commitments to records that show who made decisions and what follow-up occurred.
4:00 PM to 5:00 PM
Practical Exercise: An Ethical AI Workflow
Turn a fictional marketing assistant policy into a procurement-to-monitoring workflow. Assign owners, decision gates and evidence, then identify where a customer concern or system change reopens the review.
Key Outcomes
- Explain AICE's voluntary role alongside AIGE
- Translate principles into business workflows
- Assign approval, review and complaint owners
- Draft evidence and monitoring arrangements
Training Mode Physical / Online / Hybrid
HRD Corp Subject to programme eligibility and HRD Corp approval
Level Fundamentals / Beginner. No prior framework knowledge required.
Duration 1 Day | 9:00 AM to 5:00 PM (6.5 learning hours, excluding breaks)
Venue In-house at the client's premises, or delivered via the client's preferred platform (Microsoft Teams, Zoom, or equivalent)
Assessment Group case exercise and a 10-question knowledge check
Certificate Orbix Certificate of Completion upon full attendance; not a professional certification
Malaysia Relevance
High relevance for Malaysian AI adopters translating AIGE principles into day-to-day work. AICE is voluntary and non-binding; it complements applicable laws and does not replace them.
Practical Takeaways
A responsible AI workflow and approval-gate checklist.
Download a sample practice worksheet (TXT). This fictional exercise is a preview of the learning approach. About Orbix; contact us to confirm the facilitator and relevant experience for your delivery.
Course Completion and Next Steps
Participants receive an Orbix Certificate of Completion upon full attendance. This introductory course does not confer professional certification or establish an organisation's compliance. Further implementation and assessment depend on the organisation's scope and obligations.
Frequently Asked Questions
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Reference material: National AI Office: AI Code of Ethics (AICE).