Request to partner

Request your invite

Call to action
Your text goes here. Insert your content, thoughts, or information in this space.
Button

Back to speakers

Matthias
Balint
Head of People & Culture
Die Bayerische
Matthias Balint is a business transformation and operations leader with more than 25 years of experience across DAX 30 organizations including Daimler, Deutsche Bank, Allianz, and Adidas. He has led teams in designing and implementing new business and service delivery models, driving efficiency, digitalization, and improved user experience across complex enterprise environments. He specializes in end-to-end process optimization and building systems that create a single source of truth, enabling better decision-making and operational clarity. His work includes designing tools that support digital transformation and streamline workflows at scale. Known for his people-first approach, Matthias focuses on evolving company culture through leadership development, skills-based organizational design, and the practical application of AI, helping organizations build more adaptive and future-ready teams.
Button
27 May 2026 09:45 - 10:15
Responsible AI at scale: What people leaders must automate, govern and protect
AI is moving faster than organisational guardrails, and people leaders are increasingly accountable for decisions shaped by systems they did not design but are expected to defend. This keynote explores how senior people leaders are deciding where AI genuinely improves speed, consistency, and decision quality, and where its use creates risk, opacity, or unintended harm. Rather than focusing on tools, the session examines the operating principles, governance choices, and judgement calls required to deploy AI responsibly across talent, workforce planning, and performance, while maintaining trust with employees, leaders, and regulators. Key takeaways: - Gain clarity on which people decisions are being responsibly automated at scale, and which must remain firmly human-led. - Understand the governance models emerging to manage risk, accountability, and transparency in AI-influenced people decisions. - Learn how leading organisations are defining ownership when AI informs outcomes but leaders remain accountable. - Explore how people leaders are building trust in AI-enabled processes without overpromising fairness or precision.