Responsible AI for Organisations
An organisational briefing on the legal, governance and operational risks of AI, including accountability, oversight, privacy, confidentiality, accuracy, bias, procurement and acceptable-use policies.
Programme overview
An organisational briefing on the legal, governance and operational risks of AI, including accountability, oversight, privacy, confidentiality, accuracy, bias, procurement and acceptable-use policies.
Who should attend
Boards, senior management, legal, governance, risk, compliance, HR, IT and digital-transformation teams.
Recommended format
Executive briefing or half-day programme. Programmes are available in English, Bahasa Malaysia or bilingually, and may be delivered physically, online or in hybrid format.
Learning outcomes
- Explain the main organisational risks created by AI adoption.
- Distinguish user-level AI use from enterprise systems and vendor-procured tools.
- Define accountability, human oversight and escalation expectations.
- Prepare an initial AI acceptable-use policy and risk register.
- Identify procurement and monitoring questions for AI vendors.
Indicative modules
- AI risk landscape for organisations
- Accountability, oversight and human review
- Privacy, confidentiality, bias and accuracy
- Procurement, vendor assessment and monitoring
- Acceptable-use policies and implementation roadmap
Practical value
Participants leave with a working understanding of the relevant legal/technology risk area, practical checklists or workflows, and a clearer sense of when to escalate issues for legal, compliance or governance review.
| Academy Category | Legal Technology, Artificial Intelligence, Data Protection and Defamation |
| Target Audience | Boards, senior management, legal, governance, risk, compliance, HR, IT and digital-transformation teams. |
| Recommended Format | Executive briefing or half-day programme |
| Language Options | English, Bahasa Malaysia or bilingual |
| Learning Outcomes | Explain the main organisational risks created by AI adoption., Distinguish user-level AI use from enterprise systems and vendor-procured tools., Define accountability, human oversight and escalation expectations., Prepare an initial AI acceptable-use policy and risk register., Identify procurement and monitoring questions for AI vendors. |
| Indicative Modules | AI risk landscape for organisations, Accountability, oversight and human review, Privacy, confidentiality, bias and accuracy, Procurement, vendor assessment and monitoring, Acceptable-use policies and implementation roadmap |
| Source Document | academy - lawtech.pdf |
| Programme Status | Available workshop / training topic |
| Trainer | Dale / LAWTECH.MY, unless otherwise stated |
| Contact Email | dale@aico.my |
| Reviewed On | 2026-07-26 |
