AI-Enabled HRM: Strategy, Ethics, and Practical Guardrails

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.

• 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

• 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.

Aizhan Tursunbayeva

Associate Professor · University of Naples Parthenope