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The AI Three-Body Problem: Confidential Computing with AI

  • Writer: Mark Miller
    Mark Miller
  • Jun 30
  • 2 min read


The Artificial (Un)Intelligence Conference. Soumen Chatterjee, The AI Three-Body Problem: Confidential Computing with AI
Soumen Chatterjee

The Netflix show "The Three-Body Problem" explores the challenge of predicting the motion of three celestial bodies that interact with each other through gravity. Similarly, as we advance in technology and make significant strides toward Artificial General Intelligence (AGI), the concept of Compute-Accessible Privacy presents a fundamental challenge in the tech world that I categorize as the three-body problem. I refer to this as the "CAP Theorem of the AI World," which industry leaders must carefully consider. 




The AI Three-Body Problem


Soumen Chatterjee's session at The Artificial UnIntelligence Conference will introduce the concepts of Confidential Computing and Privacy-Preserved multi-party collaboration to tackle this AI three-body problem without compromising user data privacy. 


Attendees will learn about the technologies that will support the development of a trusted, compute-powered next-generation intelligence platform. Prepare to gain insights into the technologies that will drive the creation of a trusted, compute-powered next-generation intelligence platform.


This is not just an opportunity; it is imperative for the future of our industry.


Soumen's session, "The AI Three-Body Problem: Confidential Computing with AI", will be streamed globally September 16-17, 2025 as part of The Artificial UnIntelligence Conference.





About Soumen Chatterjee


Soumen Chatterjee is a trusted advisor, ethical technologist, and leader in business value. He has assisted numerous top global enterprises in incorporating cognitive intelligence through cloud, advanced data analytics and artificial intelligence. He believes that trusted computing, responsible AI, and environmentally sustainable technologies will keep industry leaders on their toes.




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