The IQ of Artificial Intelligence

TL;DR

This paper proposes a new approach to defining artificial intelligence based on a test score called IQ, aiming to establish a measurable and adjustable criterion for AI classification.

Contribution

It revisits and improves upon a previous IQ-based AI identification method, refining the criteria for classifying programs as AI.

Findings

Introduces an improved IQ testing framework for AI identification

Provides a flexible threshold for AI classification

Enhances the objectivity of AI evaluation

Abstract

All it takes to identify the computer programs which are Artificial Intelligence is to give them a test and award AI to those that pass the test. Let us say that the scores they earn at the test will be called IQ. We cannot pinpoint a minimum IQ threshold that a program has to cover in order to be AI, however, we will choose a certain value. Thus, our definition for AI will be any program the IQ of which is above the chosen value. While this idea has already been implemented in [3], here we will revisit this construct in order to introduce certain improvements.