Toward best research practices in AI Psychology

TL;DR

This paper discusses 14 methodological considerations to improve the robustness and interpretability of studies evaluating the cognitive abilities of language-based AI systems in AI Psychology.

Contribution

It introduces a set of methodological guidelines to enhance research quality and reliability in AI Psychology studies involving language models.

Findings

Guidelines for designing robust AI Psychology experiments

Recommendations for accurate interpretation of AI language model capabilities

Enhanced generalizability of research results

Abstract

Language models have become an essential part of the burgeoning field of AI Psychology. I discuss 14 methodological considerations that can help design more robust, generalizable studies evaluating the cognitive abilities of language-based AI systems, as well as to accurately interpret the results of these studies.