Course
AI for HR Professionals
A responsible-use programme for HR teams covering AI in recruitment, performance management, workplace investigations, policy drafting and employee communications, including data and discrimination risks.
## Programme overview
A responsible-use programme for HR teams covering AI in recruitment, performance management, workplace investigations, policy drafting and employee communications, including data and discrimination risks.
## Who should attend
HR leaders, talent teams, industrial relations personnel, compliance officers and management.
## Recommended format
Half-day programme. Programmes are available in English, Bahasa Malaysia or bilingually, and may be delivered physically, online or in hybrid format.
## Learning outcomes
- Recognise practical HR use cases for AI and where use should be restricted.
- Draft HR communications, policies and investigation plans with appropriate human oversight.
- Identify risks involving personal data, bias, discrimination and automated decision-making.
- Set guardrails for employee use of AI in HR-sensitive matters.
- Create a basic HR AI acceptable-use checklist.
## Indicative modules
- AI use cases in HR operations
- Recruitment, performance and employee communications
- Workplace investigation support and limits
- Personal data, bias and discrimination risks
- HR AI policy and acceptable-use controls
## 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.
A responsible-use programme for HR teams covering AI in recruitment, performance management, workplace investigations, policy drafting and employee communications, including data and discrimination risks.
## Who should attend
HR leaders, talent teams, industrial relations personnel, compliance officers and management.
## Recommended format
Half-day programme. Programmes are available in English, Bahasa Malaysia or bilingually, and may be delivered physically, online or in hybrid format.
## Learning outcomes
- Recognise practical HR use cases for AI and where use should be restricted.
- Draft HR communications, policies and investigation plans with appropriate human oversight.
- Identify risks involving personal data, bias, discrimination and automated decision-making.
- Set guardrails for employee use of AI in HR-sensitive matters.
- Create a basic HR AI acceptable-use checklist.
## Indicative modules
- AI use cases in HR operations
- Recruitment, performance and employee communications
- Workplace investigation support and limits
- Personal data, bias and discrimination risks
- HR AI policy and acceptable-use controls
## 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 | HR leaders, talent teams, industrial relations personnel, compliance officers and management. |
| Recommended Format | Half-day programme |
| Language Options | English, Bahasa Malaysia or bilingual |
| Learning Outcomes | Recognise practical HR use cases for AI and where use should be restricted., Draft HR communications, policies and investigation plans with appropriate human oversight., Identify risks involving personal data, bias, discrimination and automated decision-making., Set guardrails for employee use of AI in HR-sensitive matters., Create a basic HR AI acceptable-use checklist. |
| Indicative Modules | AI use cases in HR operations, Recruitment, performance and employee communications, Workplace investigation support and limits, Personal data, bias and discrimination risks, HR AI policy and acceptable-use controls |
| 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 |