AI isn’t neutral — it reflects human choices, values, and blind spots. In this thought-provoking session, Sune Selsbæk-Reitz introduces Deontological Design: a principled approach to building AI systems that don’t just work well – but behave well. Drawing on moral philosophy and pop culture (yes, there are aliens involved), the talk explores how we can design AI that respects dignity, safeguards autonomy, and remains ethically grounded over time.
Sune Selsbæk-Reitz is an experienced data professional with a passion for empowering organizations through strategic data insights and ethical AI solutions. With a background spanning product management, data and AI strategy, governance, and innovative work methods, he specializes in guiding teams toward success through thoughtful planning and execution.
Rooted in his academic foundation in philosophy, Sune approaches data strategy as more than just managing information—it’s about finding clarity within complexity. He believes in distilling problems to their essence, ensuring solutions are both purposeful and accessible. Guided by the principle “do less, more thoroughly,” he strives to balance depth with simplicity, focusing on what truly matters.
As the Data & AI Strategist at Demant, Sune is dedicated to fostering a future of data-driven decision-making with a people-first approach. He also curates Deontological Design, a LinkedIn newsletter exploring AI ethics through a philosophical lens, offering insights into building responsible and human-centered AI systems.