From Passive Observation to Active Understanding: Alexander Molak on AI that sees causality

Generative AI models are transforming industries, but are they truly understanding the world around them? Alexander Molak argues that these tools while being impressive, are merely correlational devices, not capable of grasping true cause and effect. Molak, a leading machine learning researcher and consultant, and the author of Causal Inference and Discovery in Python, dives deep into why Causal AI might be the key to unlocking the future of intelligent systems. Listen to the full story on Spotify, Podcasts for Brainport, or RadioPodcasts.ICU.