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ChatGPT

Artificial Intelligence as a Potential Tool for Parents Seeking Information About Autism

Bibliographic Data

ID22004444
AuthorsTyler C MCFAYDEN (0000-0001-8942-1562, University of North Carolina at Chapel Hill, corresponding author), Stephanie Bristol (0000-0002-2611-5290, University of North Carolina at Chapel Hill), Orla Putnam (0000-0002-2215-0021, University of North Carolina at Chapel Hill), Clare Harrop (0000-0003-3381-3473, University of North Carolina at Chapel Hill)
Year2024
Volume27
Issue2
Pages135-148
Publication date2024-02-01
Open AccessYes
TypeARTICLE
VenueCyberpsychology Behavior and Social Networking (JOURNAL)
Journal identifiersISSN: 2152-2715 • E-ISSN: 2152-2723
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1089/cyber.2023.0202
PMID38181176
OpenAlexW4390604268
LanguageEN
Citations received2
References cited13

Autism Spectrum Disorder has seen a drastic increase in prevalence over the past two decades, along with discourse rife with debates and misinformation. This discourse has primarily taken place online, the main source of information for parents seeking information about autism. One potential tool for navigating information is ChatGPT-4, an artificial intelligence question and answer-style communication program. Although ChatGPT shows great promise, no empirical work has evaluated its viability as a tool for providing information about autism to caregivers. The current study evaluated answers provided by ChatGPT, including basic information about autism, myths/misconceptions, and resources. Our results suggested that ChatGPT was largely correct, concise, and clear, but did not provide much actionable advice, which was further limited by inaccurate references and hyperlinks. The authors conclude that ChatGPT-4 is a viable tool for parents seeking accurate information about autism, with opportunities for improvement in actionability and reference accuracy

Autism · Autism spectrum disorder · Computer security · Developmental psychology · Information retrieval · Information seeking · Misinformation · Autism Spectrum Disorder Research · Child Development and Digital Technology · Computer Science · Psychology

  • Teaching with AI

    Open Access•Zhenya Tang, Seongjin Kim et al.•Computers & Education•2026

  • Testing the capability of generative artificial intelligence for parent and caregiver information seeking

    Open Access•YaeBin Kim, Silvia L Vilche et al.•Family Relations•2025

  • Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020

    Open Access•Matthew J Maenner, Zachary Warren et al.•MMWR. Surveillance Summaries•2023

  • Does Language Matter? Identity-First Versus Person-First Language Use in Autism Research

    Open Access•Monique Botha, Jacqueline Hanlon et al.•Journal of Autism and Developmental…•2023

  • Avoiding Ableist Language

    Open Access•Kristen Bottema-Beutel, Kristen Bottema‐beutel et al.•Autism in Adulthood•2021

  • The Kappa Statistic in Reliability Studies

    Joe Sims, Julius Sim et al.•Physical Therapy•2005

  • Performance of ChatGPT on USMLE

    Open Access•Tiffany H Kung, Morgan Cheatham et al.•PLOS Digital Health•2023

  • Interrater reliability

    Open Access•Marry L McHugh•Biochemia Medica•2012

  • A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research

    Open Access•Terry K Koo, Mae Y Li•Journal of Chiropractic Medicine•2016

Citations per year2
Citation span2025 - 2026 (2)
Highly citedNo

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