Artificial intelligence in applied family research involving families with young children: A scoping review

IF 1.7 3区社会学 Q2 FAMILY STUDIES

Family Relations Pub Date : 2024-09-20 DOI:10.1111/fare.13090

Joyce Y. Lee, Eunhye Ahn, Amy Xu, Yuanyuan Yang, Yujeong Chang, Hunmin Cha, Tawfiq Ammari

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引用次数: 0

Abstract

Objective

This scoping review systematically examined the applied family science literature involving families raising young children to understand how relevant studies have applied artificial intelligence (AI)-facilitated technologies.

Background

Family research is exploring the application of AI. However, there is a critical need for a review study that systematically examines the varied use of AI in applied family science to inform family practitioners and policymakers.

Method

Comprehensive literature searches were conducted in nine databases. Of the 10,022 studies identified, 21 met inclusion criteria: peer-reviewed journal article; published between 2014–2024; written in English; involved the use of AI in collecting data, analyzing data, or providing family-centered services; included families raising young children 0–5 years; and was quantitative in analysis.

Results

Most studies focused on maternal and child health outcomes in low- and middle-income countries. All studies identified were in the AI use domain of data analysis, with 76% of the studies having a focus on identifying the most important predictors. Random forest performed as the best machine learning model. Only one study directly mentioned the ethical use of AI.

Conclusion

Overall, the applied family science evidence base that employs AI is limited in size and scope, with most studies using AI for data analysis purposes with limited ethical considerations.

Implications

AI models in applied family science can inform family services and policies aimed at promoting family and child health. However, thoughtful consideration of AI ethics and fairness is needed to prevent the negative social impacts of AI on marginalized groups of families and their young children.

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人工智能在涉及幼儿家庭的应用家庭研究中的应用：范围综述

目的：本综述系统地回顾了涉及抚养幼儿家庭的应用家庭科学文献，以了解相关研究如何应用人工智能（AI）促进技术。家庭研究正在探索人工智能的应用。然而，迫切需要进行一项综述研究，系统地检查人工智能在应用家庭科学中的各种用途，以便为家庭从业者和政策制定者提供信息。方法对9个数据库进行综合文献检索。在10022项研究中，有21项符合纳入标准：同行评议的期刊文章；2014-2024年间出版；用英文书写；涉及使用人工智能收集数据、分析数据或提供以家庭为中心的服务；包括抚养0-5岁幼儿的家庭；在分析中是定量的。结果大多数研究集中于低收入和中等收入国家的孕产妇和儿童健康结果。所有确定的研究都属于数据分析的人工智能使用领域，其中76%的研究侧重于确定最重要的预测因素。随机森林是最佳的机器学习模型。只有一项研究直接提到了人工智能的道德使用。总体而言，使用人工智能的应用家庭科学证据基础在规模和范围上是有限的，大多数研究使用人工智能进行数据分析，伦理考虑有限。应用家庭科学中的人工智能模型可以为旨在促进家庭和儿童健康的家庭服务和政策提供信息。然而，为了防止人工智能对边缘家庭群体及其年幼的孩子产生负面的社会影响，需要对人工智能的伦理和公平性进行深思熟虑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Family Relations Multiple-

CiteScore

3.40

自引率

13.60%

发文量

164

期刊介绍： A premier, applied journal of family studies, Family Relations is mandatory reading for family scholars and all professionals who work with families, including: family practitioners, educators, marriage and family therapists, researchers, and social policy specialists. The journal"s content emphasizes family research with implications for intervention, education, and public policy, always publishing original, innovative and interdisciplinary works with specific recommendations for practice.