AI Risk Skepticism, A Comprehensive Survey

TL;DR

This survey critically examines AI risk skepticism, categorizing different mistaken beliefs and perspectives to better understand and address concerns about AI's potential dangers.

Contribution

It provides a comprehensive classification of AI risk skepticism, drawing parallels with scientific skepticism, to inform future research and risk management strategies.

Findings

Categorizes types of mistaken thinking in AI risk skepticism

Draws parallels between AI skepticism and scientific skepticism

Highlights the importance of rigorous scientific analysis of AI risks

Abstract

In this thorough study, we took a closer look at the skepticism that has arisen with respect to potential dangers associated with artificial intelligence, denoted as AI Risk Skepticism. Our study takes into account different points of view on the topic and draws parallels with other forms of skepticism that have shown up in science. We categorize the various skepticisms regarding the dangers of AI by the type of mistaken thinking involved. We hope this will be of interest and value to AI researchers concerned about the future of AI and the risks that it may pose. The issues of skepticism and risk in AI are decidedly important and require serious consideration. By addressing these issues with the rigor and precision of scientific research, we hope to better understand the objections we face and to find satisfactory ways to resolve them.