Melden Sie sich bei getAbstract an, um die Zusammenfassung zu erhalten.

Human Compatible

Melden Sie sich bei getAbstract an, um die Zusammenfassung zu erhalten.

Human Compatible

Artificial Intelligence and the Problem of Control

Viking,

15 Minuten Lesezeit
7 Take-aways
Audio & Text

Was ist drin?

The approach of artificial general intelligence demands a new relationship between humans and machines.

  • 0.5×
  • 0.75×
  • 1×
  • 1.25×
  • 1.5×
  • 1.75×
1×

Editorial Rating

8

Qualities

  • Analytical
  • Scientific
  • Visionary

Recommendation

If asked to predict the most significant occurrence in the future of humans, the best answer would be the advent of superintelligent artificial intelligence (AI). Superintelligent AI might help human beings avert climate disaster, cure all diseases, and much more. Superintelligent AI might also usher in the end of human history. The quest for AI has always been for increasingly intelligent machines. University of California, Berkeley, computer science professor Stuart Russell suggests that people should instead generate intelligent machines that benefit human life.

Summary

The traditional model of artificial intelligence success is wrong.

The desire to create artificial intelligence (AI) goes back to the ancient world. The idea that an intelligent machine was possible derives from a summer workshop organized by young mathematicians John McCarthy and Marvin Minsky at Dartmouth College in 1956. The meeting sought to discover how to make machines that understood and used language, solved problems that humans solve, and ultimately improve themselves.

AI enjoyed early successes, such as Arthur Samuel’s checker-playing program, but by the end of the 1960s, frustration arose at the limited results in early efforts at machine learning and translation. Interest in AI revived in the 1980s due to the economic possibilities of expert systems. By the second decade of the 21st century, advances like deep learning led to leaps forward in speech and visual recognition as well as translation. Today, AI can do many of the things humans can do; self-driving cars and intelligent personal assistants are just around the corner. Advances in computing, like algorithms designed to maximize click-throughs, affect billions of people...

About the Author

Stuart Russell, PhD, is a professor of computer science at the University of California, Berkeley. He served as the vice chair of the World Economic Forum’s Council on AI and Robotics and as an adviser to the United Nations on arms control.

Comment on this summary