HeyJaredHUMAN & AI
Welcome to Human and AI: Mind, Machines, and the Gradient Descent, your essential guide to the most transformative technology of our time.
- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 24, 2026
- Audience
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- Earliest in this view
- Jul 14, 2026
Latest episodes
Nils Janus | AI at Scale in Safety-Critical Manufacturing (opens the original)
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In this episode, we sit down with Nils Janus, Chief AI Officer at Covestro, for a conversation on what it takes to deploy AI at scale across the safety-first world of chemical manufacturing. Nils brings a mathematician’s clarity and a background in theoretical computer science and psychology to the challenge of leading traditional industrial heritage into digital leadership.Why is Covestro replacing traditional 5-to-10-year IT roadmaps with agile 6-month game plans? How do probabilistic machine
Jochen Gross | Why Data Is the Foundation of Every Sustainability Transformation (opens the original)
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In this episode, we sit down with Jochen Gross, who leads Data Strategy and Architecture within the Sustainability team at Siemens, for a conversation that challenges how we think about both AI and sustainability. Jochen takes us behind the scenes of one of the most complex data challenges in corporate history: building the foundation that makes sustainable decision-making actually possible at scale.Why has sustainability evolved from a values-driven conversation into a data-driven discipline? W
Erik Brynjolfsson | The Economics of Getting AI Right (opens the original)
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In this episode, we headed to the heart of Silicon Valley to meet Professor Erik Brynjolfsson, Director of Stanford's Digital Economy Lab and one of the world's leading thinkers on the economics of AI, for a conversation that bridges economics with bold human vision. Erik brings his clarity to some of today's biggest leadership questions: Why are companies spending billions on AI but seeing underwhelming results? What does his famous productivity J curve tell us about where we are right now and
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