AI in HR – Innovation, Ethics, and Impact
David Power, State Street
Natalie Sheils, Talenaut
Alexander Locher, EY




AI is reshaping HR, from personalised employee experiences to predictive analytics. However, its success depends on ethical adoption, trust, and integration with existing systems. This panel unpacks key challenges: How can leaders ensure AI empowers rather than alienates employees? What strategies drive adoption and cross-functional collaboration? And how can organisations measure AI’s true impact? Join this fast-paced discussion to explore real-world strategies for balancing innovation with workforce resilience.
1. AI’s Role in Workforce Agility and Experience
- How are AI innovations reshaping HR and the employee experience?
- Balancing automation with the human element in dynamic work environments
2. Ethics, Bias, and Responsible AI Adoption
- Safeguarding against bias and ensuring fairness in AI-driven decision-making
- Building trust in AI while maintaining transparency and ethical responsibility
3. Organisational Barriers and Cross-Functional Collaboration
- Overcoming resistance to AI adoption across HR and business functions
- The role of leadership in driving AI innovation and cultural change
4. Measuring AI’s Impact on Workforce Strategy
- The most effective metrics for tracking AI’s success in HR and people analytics
- Comparing real-time analytics vs. predictive insights for decision-making
5. Future of AI in HR: What’s Next?
- Key trends shaping AI adoption in HR and people analytics
- Strategic priorities for HR and business leaders in AI-driven transformation
- Understand how AI is reshaping HR functions and employee experience
- Learn strategies to mitigate bias and build trust in AI-driven decision-making
- Explore leadership approaches to successfully implement AI in HR
- Identify the best metrics for measuring AI’s impact on workforce agility
- Gain insight into future trends in AI for HR and workforce planning.