Evidence map›Paper›PMID 40510247›Full record

ArticleAI & society2025

We need better images of AI and better conversations about AI.

Marc Steen, Tjerk Timan, Jurriaan Van Diggelen, Steven Vethman

Abstract read
In one paragraph

Article in AI & society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marc SteenTNO, The Hague, Netherlands.ORCID 0000-0001-7915-5459
Tjerk TimanTNO, The Hague, Netherlands.
Jurriaan Van DiggelenTNO, The Hague, Netherlands.
Steven VethmanTNO, The Hague, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we critique the ways in which the people involved in the development and application of AI systems often visualize and talk about AI systems. Often, they visualize such systems as shiny humanoid robots or as free-floating electronic brains. Such images convey misleading messages; as if AI works independently of people and can reason in ways superior to people. Instead, we propose to visualize AI systems as parts of larger, sociotechnical systems. Here, we can learn, for example, from cybernetics. Similarly, we propose that the people involved in the design and deployment of an algorithm would need to extend their conversations beyond the four boxes of the

Indexed as

AutonomyCyberneticsError matrixJusticeSociotechnical system

Identifiers

PMID40510247
PMCPMC12152090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.