AI in Talent Acquisition: Applications, Risks & Strategy

Question 1

Analyse the current applications of AI in talent acquisition (e.g., résumé screening, chatbots, video interview analysis, candidate matching, predictive analytics). Select 4 applications to analyse. (300-350 words)

(20 marks)

Question 2

Evaluate the benefits and risks of using AI in talent acquisition. (750 – 800 words)

(20 marks)

Question 3

Research two case studies of a real, existing company using AI in talent acquisition. Analyse its implementation, effectiveness, and challenges. In your answer, do also appraise how the use of AI fulfils or does not fulfil the needs of the organisation. (15 marks for each company) (950-1100 words)

(30 marks)

Question 4

Create a Talent Management System guide that integrates the use of AI across the employee lifecycle, with a specific focus on Talent Acquisition.

Your guide should address the following:

1. Talent Acquisition

• How AI can be used to source, screen, and select candidates.
• Ethical issues and risks associated with AI in hiring (e.g., bias, transparency, data privacy).
• Strategies to ensure fairness, accountability, and candidate experience.

2. Integration Across the Talent Lifecycle

• Briefly outline how the talent acquisition process links to other HR functions such as onboarding, learning and development, performance management, and succession planning.
• Where appropriate, highlight how AI tools can support these processes and what challenges or limitations may arise.

3. System Design Considerations

• Design principles (e.g., inclusivity, transparency, data governance)
• Human-AI collaboration: What decisions should remain human-led?
• Change management: How would you engage employees and leaders in adopting AI tools responsibly?

4. Your Recommendations

• Summarise key recommendations for HR teams looking to implement AI in their talent management system.
• Consider ethical, strategic, and operational aspects.

You will be assessed on:

1. Depth of analysis and critical thinking
2. Practicality & relevance to HR practice
3. Design principles & implementation considerations

(Max 1200 words) (15 marks)

Question 5

Construct a competencies framework for a talent acquisition manager who needs to use AI for talent acquisition. The competencies/qualities should be relevant for a talent acquisition manager who needs to utilise AI for talent acquisition. Please list 3 competencies. For each competency, list 3 behavioural indicators that go with the competency. (500 words).