Course
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.
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 |