Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence
The paper titled 'Machine Psychometrics' explores a new approach to understanding artificial intelligence through measurement rather than anthropomorphism. It introduces the concept of Machine Psychometrics, which aims to evaluate the psychological structure of artificial agents. The authors propose a framework that balances the understanding of AI without presupposing consciousness or dismissing its potential.
- ▪The paper argues for a disciplined measurement layer to evaluate artificial agents beyond capability scores.
- ▪It introduces the Machine Mindprint, a multidimensional profile for assessing various dispositions in AI.
- ▪The authors propose a Trust Protocol to guide deployment decisions based on the Machine Mindprint.
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Computer Science > Artificial Intelligence arXiv:2605.23952 (cs) [Submitted on 10 May 2026] Title:Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence Authors:Alex Bogdan, Adrian de Valois-Franklin View a PDF of the paper titled Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence, by Alex Bogdan and 1 other authors View PDF HTML (experimental) Abstract:Artificial agents now generate behavior rich enough to invite trust, surprise, and concern, yet our evaluation tools still privilege capability scores over psychological structure.
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