Evidence map›Paper›PMID 37528517›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2023

Editorial: Generative artificial intelligence and the ecology of human development.

Carlo Schuengel, Alastair van Heerden

Abstract readEditorial
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Carlo SchuengelEducational and Family Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-5501-3341
Alastair van HeerdenCenter for Community Based Research, Human Sciences Research Council, Pietermaritzburg, South Africa.ORCID 0000-0003-2530-6885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Commercial applications of artificial intelligence (AI) in the form of Large Language Models (LLMs) and Generative AI have taken centre stage in the media sphere, business, public policy, and education. The ramifications for the field of child psychology and psychiatry are being debated and veer between LLMs as potential models for development and applications of generative AI becoming environmental factors for human development. This Editorial briefly discusses developmental research on generative AI and the potential impact of generative AI on the hybrid social world in which young people grow up. We end by considering that the rapid developments justify increasing attention in our field.

Indexed as

Artificial IntelligencePsychiatryAdolescentChildEducational StatusHumansLanguagePsychology, Child

Identifiers

PMID37528517
PMCPMC10509500

What Socratic 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 Socratic graph.