Evaluating General-Purpose AI with Psychometrics

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Authors: Xiting Wang, Liming Jiang, David Stillwell, Shiqiang Chen, Luning Sun, Fang Luo, Xing Xie, José Hernández-Orallo
Cited by: 3
References: 45

Abstract

[EN] IN THE RAPIDLY evolving field of artificial intelligence (AI), rigorous evaluation is critical. Evaluation helps prevent disastrous outcomes in high-stakes applications such as autonomous driving and medical diagnosis,7 and helps stop the spread of racist, sexist, ableist, extremist, and other harmful ideologies.4 It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding improvements in future model development. Despite its importance, rigorous evaluation of versatile general-purpose AI systems such as ChatGPT and Gemini is challenging. The versatility of these systems, which can handle diverse tasks specified

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
RiuNet (Universitat Politècnica de València)
Publisher
Association for Computing Machinery (ACM)
Volume
69
Issue
5
Pages
92-102
Publication date
1 May 2026
Language
EN