Causal Models, Biology, Generative AI & RL || Robert Ness || Causal Bandits Ep. 011 (2024)

Mar 4, 2024

Robert Ness discusses the broad perspective on causal inference encompassing graphical models, Bayesian inference, reinforcement learning, generative AI, and cognitive science. The conversation explores the challenges and importance of causal inference in AI models for understanding complex scenarios and human decision-making processes, with a focus on bridging computational models with human reasoning for Artificial General Intelligence (AGI). Delve into the integration of causality in identifying latent representations in generative AI for image manipulation, emphasizing the importance of understanding causal relationships in creating realistic images.