Editorial: Generative artificial intelligence and the ecology of human development

Author:

Schuengel Carlo12ORCID,van Heerden Alastair34ORCID

Affiliation:

1. Educational and Family Studies Vrije Universiteit Amsterdam Amsterdam The Netherlands

2. Amsterdam Public Health Research Institute Amsterdam UMC and Vrije Universiteit Amsterdam Amsterdam The Netherlands

3. Center for Community Based Research Human Sciences Research Council Pietermaritzburg South Africa

4. SAMRC/WITS Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa

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.

Funder

ZonMw

National Institutes of Health

Bill and Melinda Gates Foundation

European and Developing Countries Clinical Trials Partnership

Publisher

Wiley

Subject

Psychiatry and Mental health,Developmental and Educational Psychology,Pediatrics, Perinatology and Child Health

Reference12 articles.

1. Call for AI pause highlights potential dangers

2. Gopnik A.(2023).A very human answer to one of AI's deepest dilemmas.Observer. Available from:https://www.psychologicalscience.org/observer/ai‐deepest‐dilemmas[last accessed 1 July 2023].

3. Massive covidization of research citations and the citation elite

4. Kosinski M.(2023).Theory of mind may have spontaneously emerged in large language models.ArXiv abs/2302.02083.

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