EPISODE · Nov 19, 2025 · 15 MIN
How to Build a Responsible AI Ecosystem
from HR Leaders
In this episode of the HR Leaders Podcast, we sit down with Michiel van Duin, Chief People Technology, Data and Insights Officer at Novartis to discuss how the company is building a human-centered AI ecosystem that connects people, data, and technology.Michiel explains how Novartis brings together HR, IT, and corporate strategy to align AI innovation with the company’s long-term workforce and business goals. He shares how the team built an AI governance framework and a dedicated AI and innovation function inside HR, ensuring responsible use of AI while maintaining trust and transparency.From defining when AI should step in and when a “human-in-the-loop” is essential, to upskilling employees and creating the first “Ask Novartis” AI assistant, Michiel shows how Novartis is making AI practical, ethical, and human.🎓 In this episode, Michiel discusses:Deciding where AI ends and the human beginsDeveloping “Ask Novartis,” the company’s HR AI assistantUpskilling HR with AI-first capabilities and new hybrid rolesBuilding AI governance and responsible-use frameworks at NovartisPartnering across HR, IT, and strategy to align AI with business goals🙏 Thanks you to our series partner - WorkhumanDiscover how to Build Human-Centred Workplaces which Thrive! → https://www.workhuman.com/resources/reports-guides/the-human-centred-workplace-building-organisational-cultures-that-thrive-emea/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Embed this episode
What this episode covers
Michiel van Duin, Chief People Technology, Data and Insights Officer at Novartis, explains how the company is creating a responsible AI ecosystem that connects people, data, and technology. He shares how Novartis balances innovation with governance and puts humans at the center of AI transformation.
NOW PLAYING
How to Build a Responsible AI Ecosystem
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.