Book Image

Architects of Intelligence

By : Martin Ford
Book Image

Architects of Intelligence

By: Martin Ford

Overview of this book

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. This is the hardcover edition of the book.
Table of Contents (28 chapters)
Architects of Intelligence
Introduction
2
YOSHUA BENGIO
3
STUART J. RUSSELL
4
GEOFFREY HINTON
5
NICK BOSTROM
6
YANN LECUN
7
FEI-FEI LI
8
DEMIS HASSABIS
9
ANDREW NG
10
RANA EL KALIOUBY
11
RAY KURZWEIL
12
DANIELA RUS
13
JAMES MANYIKA
14
GARY MARCUS
15
BARBARA J. GROSZ
16
JUDEA PEARL
17
JEFFREY DEAN
18
DAPHNE KOLLER
19
DAVID FERRUCCI
20
RODNEY BROOKS
21
CYNTHIA BREAZEAL
22
JOSHUA TENENBAUM
23
OREN ETZIONI
24
BRYAN JOHNSON
25
When Will Human-Level AI be Achieved? Survey Results

Chapter 16. JUDEA PEARL

The current machine learning concentration on deep learning and its non-transparent structures is a hang-up. They need to liberate themselves from this data-centric philosophy.

PROFESSOR OF COMPUTER SCIENCE AND STATISTICS, UNIVERSITY OF CALIFORNIA, LOS ANGELES DIRECTOR OF THE COGNITIVE SYSTEMS LABORATORY

Judea Pearl is known internationally for his contributions to artificial intelligence, human reasoning, and philosophy of science. He is particularly well known in the AI field for his work on probabilistic (or Bayesian) techniques and causality. He is the author of more than 450 scientific papers and three landmark books: Heuristics (1984), Probabilistic Reasoning (1988), and Causality (2000; 2009). His 2018 book, The Book of Why, makes his work on causation accessible to a general audience. In 2011, Judea received the Turing Award, which is the highest honor in the field of computer science and is often compared to the Nobel Prize.

MARTIN FORD: You’ve had a long...