Fascinating Interview Worth Checking Out 

Stuart Russell on How to Ensure That Artificial Intelligence Benefits Society


Stuart Russell is a British computer scientist, known for his contributions to artificial intelligence. Russell is a Professor of Computer Science at the University of California, Berkeley and Adjunct Professor of Neurological Surgery at the University of California, San Francisco. His seminal book, which he co-wrote with American computer scientist Peter Norvig, is the standard text in artificial intelligence. ‘Artificial Intelligence: A Modern Approach’ has been translated into 13 languages and is used in more than 1,300 universities in 118 countries.

His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multi-target tracking, computer vision, computational physiology, global seismic monitoring, and philosophical foundations. Russell ponders deeply on the future of AI— as well as the future of human civilisation. He has been an incredible inspiration to us all here at WUNDER.

WUNDER LOVES: This 2020 Interview Between Stuart Russell and James Manyika

In January 2020, Russell sat down with McKinsey Global Institute chairman James Manyika to discuss the future as AI continues to transform how we live our lives. It is a fascinating insight into how AI can be used for good. For technology enthusiasts, or anyone interested in what’s ahead of us, this interview makes for a fascinating read. There are also a number of video clips from the interview shared within the post. 

The interview took place in January 2020 before the COVID-19 pandemic. The fact that Russell touched on the ways in which AI could improve medicines in future added a prophetic element to the talk. All in all, a very interesting discussion between two brilliant minds. I recommend checking it out.

Topics discussed include:

  • How AI can improve our quality of life.
  • The role of humans in an AI-driven world.
  • What could go wrong with AI and how we can stop this from happening. 
  • A change in approach; building AI to be beneficial rather than simply intelligent.


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