TL;DR
This paper surveys skepticism about AI risk, analyzing its causes and proposing interventions to reduce skepticism among AI researchers, drawing parallels with scientific skepticism.
Contribution
It classifies types of AI risk skepticism, analyzes their root causes, and suggests intervention strategies to mitigate skepticism within the AI research community.
Findings
Identifies various forms of AI risk skepticism.
Analyzes root causes of skepticism.
Proposes intervention approaches to reduce skepticism.
Abstract
In this work, we survey skepticism regarding AI risk and show parallels with other types of scientific skepticism. We start by classifying different types of AI Risk skepticism and analyze their root causes. We conclude by suggesting some intervention approaches, which may be successful in reducing AI risk skepticism, at least amongst artificial intelligence researchers.
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Taxonomy
TopicsMisinformation and Its Impacts · Explainable Artificial Intelligence (XAI) · Topic Modeling