Interviewed by Tony Peng, Synced.
• Give me an overview of your work at Uber AI Labs
• How did you begin your work in AI, and more specifically in robotics?
• What motivates you to keep working in this space?
• How are you working to advance AI in industrial applications?
• What challenges are you currently facing in your work, and how are you using AI to overcome these?
• You mentioned the importance of robots being able to adapt ‘like animals’ and head back to the repair station once they’re damaged rather than just cutting out - can you expand on this and explain how your algorithm works?
• How are you using AI for Good?
• How do you think we can ensure AI in robotics is used for a positive impact?
• AI is becoming applied in countless industries - what areas are you most excited to see transformed, and where do you think we’ll see the biggest impact?
Jeff Clune is the Research Manager / Team Lead at OpenAI. He focuses on robotics, reinforcement learning, and training neural networks either via deep learning or evolutionary algorithms. He has also researched open questions in evolutionary biology using computational models of evolution, including the evolutionary origins of modularity, hierarchy, and evolvability. Previously, Jeff was a Senior Research Manager and founding member at Uber AI Labs, and also the Loy and Edith Harris Associate Professor in Computer Science at the University of Wyoming. Prior to becoming a professor, he was a Research Scientist at Cornell University, received a PhD in computer science and an MA in philosophy from Michigan State University, and received a BA in philosophy from the University of Michigan.