AI-Enabled HRM: Strategy, Ethics, and Practical Guardrails
AI-Enabled HRM: Strategy, Ethics, and Practical Guardrails
From compliance to competitive edge in workforce data and decision making
Artificial intelligence is already embedded across the employee life-cycle, yet many HR functions wrestle with flat budgets, fragmented technology stacks, and an accelerating patchwork of global regulations. Drawing on new research and real-world cases, this session maps a pragmatic route from pilot to scale: choosing high-value use cases, setting ethical guardrails, mitigating bias, auditing vendors, and measuring business and employee impact. Learn how to craft an AI-ready people strategy, build multidisciplinary skills, and keep humans – and organisational culture – at the centre of algorithmic decisions.
In this episode, we discuss:
- Current AI adoption trends and investment realities across the HR function.
- Navigating the EU AI Act, US state rules, and self-regulation frameworks.
- Designing fair, explainable algorithms for recruitment, performance, and workforce planning.
- Balancing employee surveillance risks with autonomy and trust-based cultures.
- Building the skills, data literacy, and agile mindsets HR needs to lead AI initiatives.
- Setting metrics, budgets, and ROI targets
Learning outcomes
- Identify high-impact HR use cases where AI can augment, not merely automate.
- Apply a practical checklist to spot and mitigate bias throughout the model lifecycle.
- Translate complex regulatory requirements into clear vendor and governance criteria.
- Draft an AI skills roadmap covering data, ethics, and creative problem-solving.
- Establish balanced KPIs that capture business value and employee experience.
- Secure stakeholder buy-in with a narrative that tempers hype and fear.
Why is this being discussed now?
Why is this being discussed now?
Boards demand faster, data-driven workforce decisions while regulators impose strict AI rules and budgets remain under one-percent of revenue. HR leaders must deliver efficiency, transparency, and trust, or risk fines, reputational damage, and talent loss in the most rapid technology adoption cycle since the microchip.
Aizhan Tursunbayeva
Associate Professor · University of Naples Parthinope
Monday, July 14, 2025, 4:00 PM - 5:00 PM
CEST
This session features:
Nick Kennedy, Workforce Planning Institute
Aizhan Tursunbayeva, University of Naples Parthenope
Aizhan Tursunbayeva, University of Naples Parthenope
Join us in person:
Annual global conference for People Analytics
and Data-Driven Workforce Strategy.
15 - 16 October 2025 · Convene West 46th Street · New York
A word from the conference chair:
