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1. “Exploring the Perceptions and Readiness of HR Professionals towards the Adoption of Explainable AI in Pakistan” Presentation by: Priyanka Bajaj (F24PDM004) Supervisor: Dr. Hassaan Ahmed

2. Introduction Context: Limited research in Pakistan’s HR ecosystem Importance of Explainable AI (XAI) for trust and adoption Concerns of fairness, transparency, and accountability Rapid rise of AI in HR decision-making

3. Problem Statement Despite the growing global emphasis on Explainable Artificial Intelligence (XAI) in HR decision-making, little is known about how HR professionals in Pakistan perceive, trust, and are organizationally prepared to adopt XAI, creating a critical gap this study addresses through a qualitative exploration of their perceptions and readiness.

4. Research Objectives RO3 3 RO2 2 RO1 1 To explore the influence of organizational culture, leadership, and ethics on attitudes towards XAI. To explore the perceived challenges and opportunities associated with XAI adoption in HR functions. To explore HR professionals’ experiences and understanding of Explainable AI in the workplace. 1

5. Research Questions RQ3 3 RQ2 2 RQ1 1 How do organizational culture, leadership, and ethical considerations influence HR professionals’ views on adopting XAI? What challenges and opportunities do HR professionals experience or anticipate when adopting XAI in HR functions? How do HR professionals in Pakistan perceive and understand the concept of Explainable AI? 1

6. Literature Review OPTION 02 Project Planning Guide students in planning their social action projects, including defining objectives, resources, and timelines. AI in HRM Increasingly used for recruitment screening, performance management, talent analytics, and workforce planning. Offers efficiency but raises concerns over fairness and bias. Explainable AI (XAI) Enhances transparency by making algorithmic decisions interpretable. Seen as critical to fostering trust, accountability, and ethical compliance in HR functions. Underpinning Theories Current Gaps UTAUT (Unified Theory of Acceptance and Use of Technology): Focuses on performance expectancy, effort expectancy, social influence, and facilitating conditions. Most studies are situated in developed, Western contexts with advanced digital infrastructures. - Limited research in emerging economies like Pakistan where cultural norms, resource constraints, and leadership dynamics differ significantly. - Socio-cultural perceptions, ethical considerations, and contextual barriers to XAI adoption remain underexplored.

7. Research Gap Highlight Few: Context-sensitive studies in Pakistan Most studies: Western/Developed contexts 01 Gap: Cultural, structural, and ethical dimensions of XAI adoption in HR remain unexplored 02 03

8. Research Design & Methodology Semi-structured interviews with HR professionals (multinationals, SMEs, consultancies) Data collection Qualitative, Exploratory, Multiple Case Study Design Approach 10 participants, purposive sampling Sample Thematic analysis + Gioia method (first-order, second-order, aggregate dimensions) Data analysis Member-checking, audit trail, peer debriefing Rigor

9. Literature Review 3 4 Importance of explainability in AI Introduce key concepts of personality development and career planning. Introduction of Students and discussion on their career prospects Global adoption of AI in HRM

10. Week 04: Socialization (Global & Local) Explore local social issues and community involvement opportunities Local Community Engagement Discussions on cultural awareness and global social norms. Understanding Cultural Diversity

11. Week 06: Execution of Projects OPTION 06 Feedback on things learned OPTION 05 Provide support and feedback as they progress. OPTION 02 Reflection Sessions OPTION 01 Project Implementation OPTION 04 Mid-week check-ins to discuss challenges and successes. OPTION 03 Students begin executing their planned social actions.

12. Findings 06 Unintended consequences (overreliance, gaming) Leadership and culture matter 03 04 Barriers (cost, data quality, privacy) Explainability builds trust 01 05 Capability gaps & training needs Human-in-the-loop as non-negotiable 02 Themes Sensitivity to local context and fairness 07

13. Discussion Practical implications: Leadership buy-in, training programs, ethical guidelines 03 02 Trust and explainability are central to adoption in Pakistan Findings confirm and extend existing readiness models 01

14. Offers practical recommendations for HR leaders, policymakers, and vendors TITLE 04 Study provides first context-specific insights on XAI adoption in Pakistan Contributes to literature by integrating socio-cultural and ethical perspectives Conclusion

15. Limitation Future research: Quantitative studies, sector-specific exploration, longitudinal adoption studies 03 02 Findings not generalizable to all of Pakistan Small sample size, limited to specific industries 01

16. Thank you 