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/kun-zhang/
MBZUAI : https://mbzuai.ac.ae/
Learn more at – http://go.aws/45LcmVm
Chapters:
00:00:00 : Introduction and Show Opening
00:02:08 : Professor Kun Zhang’s Background
00:04:10 : The Why and What If questions
00:06:49 : MBZUAI : The World’s First University Focused on AI
00:05:59 : Fundamentals of Causal AI
00:09:00 : Causality & Causal AI
00:11:19 : Causality vs Correlation, and Association
00:14:04 : Causal Discovery & Modularity in Causal Systems
00:17:49 : Use AI to Uncover Hidden causes and Variables
00:19:50 : Categorizing Applicability Domains
00:21:15 : Climate science challenges
00:22:02 : Getting the Complete Picture for Complex Systems
00:23:08 : Causal Discovery Methods
00:27:06 : Causal AI for enhanced Explainability
00:29:36 : Counter Factual Reasoning: What If Questions
00:33:37 : Enhancing LLMs for Better Reasoning
00:38:39 : Practical Use Cases: Persuasive Dialogue
00:41:43 : Practical Use Cases: Education
00:44:38 : Ethical Use Considerations
00:47:55 : Practical Use Cases: Climate Science
00:50:31 : Practical Use Cases: Finance & Trading
00:53:26 : Practical Use Cases: Healthcare & Mental Health
00:56:00 : Addressing Unintended Consequences of AI
00:59:25 : Cloud Computing for AI Research
01:01:36 : Closing Thoughts
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