Faith in the Algorithm, Part 1: Beyond the Turing Test

TL;DR

This paper argues that artificial intelligence should focus on amplifying human and social intelligence rather than just mimicking human behavior, highlighting systems that contribute to this goal.

Contribution

It offers a survey of AI systems that enhance human and social intelligence, moving beyond the traditional Turing test focus.

Findings

AI systems significantly contribute to human and social intelligence

Focus on amplification rather than imitation broadens AI applications

Traditional Turing test is not the sole measure of AI success

Abstract

Since the Turing test was first proposed by Alan Turing in 1950, the primary goal of artificial intelligence has been predicated on the ability for computers to imitate human behavior. However, the majority of uses for the computer can be said to fall outside the domain of human abilities and it is exactly outside of this domain where computers have demonstrated their greatest contribution to intelligence. Another goal for artificial intelligence is one that is not predicated on human mimicry, but instead, on human amplification. This article surveys various systems that contribute to the advancement of human and social intelligence.