Evidence map›Paper›PMID 35686061›Full record

ArticleFrontiers in psychology2022

Direct Human-AI Comparison in the Animal-AI Environment.

Konstantinos Voudouris, Matthew Crosby, Benjamin Beyret, José Hernández-Orallo, Murray Shanahan, Marta Halina, Lucy G Cheke

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Discerning Quantity: Numerosity in Two Embodied Machine Learning Agents.Behavioral sciences (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Konstantinos VoudourisLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
Matthew CrosbyLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
Benjamin BeyretLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
José Hernández-OralloLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
Murray ShanahanLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
Marta HalinaLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
Lucy G ChekeLeverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBLeverhulme Trust · GBArtificial Intelligence Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial Intelligence is making rapid and remarkable progress in the development of more sophisticated and powerful systems. However, the acknowledgement of several problems with modern machine learning approaches has prompted a shift in AI benchmarking away from task-oriented testing (such as Chess and Go) towards

Indexed as

AI benchmarksAnimal-AI Olympicsartificial intelligencecognitive AIcomparative cognitionhuman-AI comparisonout-of-distribution testing

Identifiers

PMID35686061
PMCPMC9172850
OpenAlexW4285742687

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.