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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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.23952 |
| Publication time | Tue, 26 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-26T04:07:43.013Z |
| Last seen | 2026-05-26T04:07:43.013Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | dqvyVrx1CR5B |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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