Rebooting AI: Building Artificial Intelligence We Can Trust

Reading Level
Grade 11
Time to Read
4 hrs 36 mins

Reading Level

What is the reading level of Rebooting AI: Building Artificial Intelligence We Can Trust?

Analysing the books in the series, we estimate that the reading level of Rebooting AI: Building Artificial Intelligence We Can Trust is 10th and 11th grade.

Expert Readability Tests for
Rebooting AI: Building Artificial Intelligence We Can Trust

Readability Test Reading Level
Flesch Kincaid Scale Grade 10
SMOG Index Grade 12
Coleman Liau Index Grade 10
Dale Chall Readability Score Grade 6

Reading Time

4 hrs 36 mins

How long to read Rebooting AI: Building Artificial Intelligence We Can Trust?

The estimated word count of Rebooting AI: Building Artificial Intelligence We Can Trust is 68,820 words.

A person reading at the average speed of 250 words/min, will finish the book in 4 hrs 36 mins. At a slower speed of 150 words/min, they will finish it in 7 hrs 39 mins. At a faster speed of 450 words/min, they will finish it in 2 hrs 33 mins.

Rebooting AI: Building Artificial Intelligence We Can Trust - 68,820 words
Reading Speed Time to Read
Slow 150 words/min 7 hrs 39 mins
Average 250 words/min 4 hrs 36 mins
Fast 450 words/min 2 hrs 33 mins
Rebooting AI: Building Artificial Intelligence We Can Trust by Gary Marcus, Ernest Davis
Authors
Gary Marcus
Ernest Davis

More about Rebooting AI: Building Artificial Intelligence We Can Trust

68,820 words

Word Count

for Rebooting AI: Building Artificial Intelligence We Can Trust

7 hours and 24 minutes

Audiobook length


Description

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence.Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.