Evidence map›Paper›PMID 41323277›Full record

ReviewiScience2025

Algorithmic aesthetics: Cognitive perspectives on AI-generated visual art.

Ionela Bara, Kohinoor M Darda, Richard Ramsey, Emily S Cross

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ionela BaraSocial Brain Sciences Lab, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland.
Kohinoor M DardaARISA Foundation for the Arts and Sciences, Pune, India.
Richard RamseySocial Brain Sciences Lab, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland.
Emily S CrossSocial Brain Sciences Lab, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the use of generative artificial intelligence has proliferated across various domains, ranging from advertising and social media to the generation of visual artwork for presentation at esteemed art exhibitions and for sale on the art auction market. Despite its growing prevalence, empirical data show that people maintain a clear bias against AI-generated visual art when they are aware of its artificial origins. Here, we explore

Indexed as

Artificial intelligenceHuman-level artificial intelligenceResearch methodology social sciencesSocial sciences

Identifiers

PMID41323277
PMCPMC12663685

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.