
EP5: MBZUAI, CMU : Causal AI, Answering The “Why“ and “What if“ Questions |AWS for AI Podcast
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Explore the cutting-edge world of causal AI with Professor Kun Zhang in this enlightening episode of the AWS for AI podcast. As a leading researcher from MBZUAI and Carnegie Mellon University, Professor Zhang delves into the fundamentals of causal discovery and inference, revealing how these techniques are reshaping the landscape of artificial intelligence.
From education to finance, healthcare to climate science, discover how causal AI is revolutionizing diverse fields by answering the crucial "why" and "what if" questions that traditional machine learning often overlooks.
Professor Zhang shares his vision for a future where AI not only provides convenience and safety but also promotes human intelligence and societal harmony. He offers valuable insights on the ethical considerations of AI development and the role of cloud computing in facilitating large-scale AI research collaborations.
Whether you're an AI enthusiast, a researcher, or simply curious about the future of technology, this episode provides a fascinating glimpse into the transformative potential of causal AI. Join us for an in-depth discussion that bridges the gap between correlation and causation, paving the way for more interpretable, robust, and ethical AI systems.
Professor Kun Zhang : https://mbzuai.ac.ae/study/faculty/ku...
MBZUAI : https://mbzuai.ac.ae/