Practical AI for Recruitment: Foundations for Better Hiring Decisions

Focus: Build awareness and set the foundation.

1. The role of AI in modern recruitment and HR
2. What AI can and cannot do in hiring decisions
3. AI as a decision-support tool to address key recruitment challenges

Activity:

Map current recruitment workflow and identify repetitive tasks and decision points.

Focus: Improve clarity, alignment, and reduce rework.

1. Translating hiring needs into clear and structured role requirements
2. Drafting consistent, inclusive, and well-defined job descriptions
3. Aligning expectations between HR and hiring managers

Activity:

Use AI to refine and standardise a job description.

Focus: Improve sourcing effectiveness and expand reach.

1. Enhancing sourcing strategies using AI-supported thinking
2. Generating keywords, role variations, and structured search approaches
3. Expanding talent pools while maintaining relevance and judgement

Activity:

Develop an AI-supported sourcing approach for a selected role.

Focus: Improve efficiency while maintaining fairness and oversight.

1. Summarising and comparing candidate profiles using AI
2. Matching candidates against defined role requirements
3. Applying consistent screening criteria with human judgement

Activity:

Apply AI to review candidate profiles and support shortlisting decisions.

Focus: Improve communication, engagement, and responsiveness.

1. Drafting clear and personalised candidate communications
2. Structuring role-relevant interview questions
3. Improving response time while maintaining human interaction

Activity:

Create and refine candidate communication using AI support.

Focus: Ensure responsible and compliant use of AI.

1. Key risks: bias, over-reliance, and lack of transparency
2. Data privacy considerations and PDPA awareness
3. Maintaining accountability and human oversight in decisions

Activity:

Review recruitment workflow and identify risks and safeguards.