Page 455 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

It also contributes to strengthening technological capabilities in HR operations using AI for
mitigating biases in hiring and talent management.

2�3 Future Work 4.4-Productivity

• Collaborations with tech providers and AI solution vendors to integrate cutting-edge tools
into the HRM framework.
• Expansion to other sectors (e.g., healthcare, education, logistics) to apply the AI decision-
making toolkit beyond HR.
• Partnerships with government innovation entities and academic institutions to support
further research, deployment, and policy alignment.

3 Use Case Requirements

• it is critical that a comprehensive decision-making toolkit for HR managers with integration
of AI in HRM is available for optimizing decision in HR.
• it is critical that a structured framework/tool for measuring AI tools' effectiveness in
reducing HRM costs is implemented.
• it is critical that strategic recommendations for optimizing AI integration specific to the
stakeholder’s business context. This should be based on a documented gaps in current
practice where organizations lack practical tools for implementing and evaluating AI
solutions in HRM operations.

4 Sequence Diagram

5 References

[1] University of Derby, "Postgraduate Research Project Login," accessed June 24, 2025,
https:// research .derby .ac .uk/ do/ derby -authentication/ login ?rdr =/ 9qy4z/ postgraduate
-research -project.

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