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Book explores the promise, pitfalls of AI

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Architects of Intelligence features commentary from 23 Top artificial intelligence scientists and entrepreneurs

The incredible power of artificial intelligence is awe-inspiring.  Not long ago, AI seemed like some form of science fiction. Today it is our reality. “It  is becoming a true general purpose technology that is quickly evolving into a utility – not unlike electricity – likely to scale across every industry, every sector of our economy, and nearly every aspect of science, society, and culture,” explains New York Times bestselling author Martin Ford in his new book Architects of Intelligence: The Truth about AI from the People Building It. 

To better understand the many complex issues surrounding AI, Ford interviewed twenty-three of the world’s top research scientists and entrepreneurs – experts whose work is helping to drive the AI revolution. These wide-ranging conversations form the heart of Architects of Intelligence, covering such topics as:

*How will AI evolve and what major innovations are on the horizon?

*Will deep learning continue to dominate, or will other approaches come to the forefront?  

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*What does the path toward human-level Artificial General Intelligence look like?  How far off is it? 

*What are the risks associated with AI, particularly in the areas of security, privacy, bias, the impact on the job market, and potential weaponization.

*Should we really worry about the fears raised by Elon Musk, Stephen Hawking and others: Could AI someday pose a genuine existential threat to humanity?

In his introduction, Martin Ford points out that there was no broad-based consensus among the people with whom he spoke.  They provided varied, and often sharply conflicting insights, opinions and predictions.  For example, Ford spoke with Andrew Ng, Geoffrey Hinton, Yann LeCun, and Yoshua Bengio, pioneers of deep learning – the technology that so far has powered the AI revolution.  He also interviewed scientists who acknowledge the importance of deep learning, but argue that it’s just “one tool in the AI toolbox” including Barbara Grosz and IBM Watson group leader David Ferrucci who have focused heavily on understanding natural language.  Ray Kurzweil, who is well known for his predictions regarding the coming “Singularity” and Demis Hassabis, the CEO of Google DeepMind, also offered many important insights on the future of AI.

In the end, Architects of Intelligence provides a fascinating collection of perspectives about one of the most potent technologies ever created. As Martin Ford points out, “The message should be clear: Artificial Intelligence is a wide open field . . . (Its) combination of massive potential disruption together with fundamental uncertainty makes it especially imperative that we begin to engage in a meaningful and inclusive conversation about the future . . . I hope this book will make a contribution to the discussion.”

The full list of people interviewed in Architects of Intelligence includes:

Demis Hassabis, CEO, co-founder DeepMind

Ray Kurzweil, Google

Geoffrey Hinton, University of Toronto, Google

Fei-Fei Li, Stanford, Director Stanford AI Lab, Google Cloud

Yann LeCun, NYU, Director of AI Research at Facebook

Yoshua Bengio, University of Montreal

Andrew Ng, AI Fund, Coursera, Drive.ai, Stanford

Stuart Russell, University of Califronia, Berkeley

Barbara Grosz, Harvard

Judea Pearl, UCLA, Winner of the Turing Award

Rodney Brooks, MIT, co-founder iRobot and Rethink Robotics

Daniela Rus, Director, MIT CSAIL

Gary Marcus, NYU, co-founder of Geometric Intelligence

David Ferrucci, IBM Watson teamleader, founder/CEO of Elemental Cognition

Rana El Kaliouby, CEO, Co-founder Affectiva

Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence

Daphne Koller, Stanford, co-founder, CEO Coursera

Josh Tenenbaum, MIT

James Manyika, McKinsey & Co, DeepMind Fellow

Cynthia Breazeal, MIT Media Lab: Director of Personal Robots Group

Nick Bostrom, Oxford, Future of Humanity Institute

Jeff Dean, Director of AI, Google

Bryan Johnson, Founder Kernel

 

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