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A Systematic Review on the Potential of AI and ChatGPT for Parental Support and Child Well-Being

Mohsena Ashraf

TL;DR

This systematic review investigates how AI and ChatGPT can support parental guidance and child well-being by categorizing 27 studies into three domains: AI assistance for special needs children, AI support for pregnancy and postpartum care, and ethics/privacy in AI use by parents. It contrasts pre- and post-ChatGPT eras to trace shifts from task-specific, traditional conversational agents to ChatGPT-driven analyses and guideline-based evaluations. The findings show a historical emphasis on ASD and related skills in domain 1, pregnancy/postpartum information and counseling in domain 2, and privacy/bias considerations in domain 3, with a notable move toward theoretical and evaluative work after ChatGPT's emergence. The study highlights opportunities to augment parenting with AI while warning against overreliance and the need for robust ethical frameworks, diverse participant inclusion, and empirical validation to translate AI capabilities into real-world parental support.

Abstract

This research article explores the potential of Artificial Intelligence (AI) and Chat Generative Pre-trained Transformers (ChatGPT) in revolutionizing the landscape of parental support and child care. With the advancement of generative AI, conversational agent technology, and Large Language Models, these tools can be a great support for parents to guide and assist their children. Recognizing the challenges faced by parents in navigating the complexities of child-rearing, this study seeks to explore the applications of AI, particularly leveraging the capabilities of ChatGPT, to provide valuable assistance and guidance. For this purpose, we perform a comprehensive examination of the existing 27 literature studies to investigate the potential of AI-driven platforms for offering advice tailored to the individual needs of the parents. We break down these research works into three domains based on their research criteria, and categorize each domain into two subgroups: pre-chatGPT era, and post-chatGPT era. At last, we investigate the significant dimensions of these literatures and present some valuable findings and future research directions.

A Systematic Review on the Potential of AI and ChatGPT for Parental Support and Child Well-Being

TL;DR

This systematic review investigates how AI and ChatGPT can support parental guidance and child well-being by categorizing 27 studies into three domains: AI assistance for special needs children, AI support for pregnancy and postpartum care, and ethics/privacy in AI use by parents. It contrasts pre- and post-ChatGPT eras to trace shifts from task-specific, traditional conversational agents to ChatGPT-driven analyses and guideline-based evaluations. The findings show a historical emphasis on ASD and related skills in domain 1, pregnancy/postpartum information and counseling in domain 2, and privacy/bias considerations in domain 3, with a notable move toward theoretical and evaluative work after ChatGPT's emergence. The study highlights opportunities to augment parenting with AI while warning against overreliance and the need for robust ethical frameworks, diverse participant inclusion, and empirical validation to translate AI capabilities into real-world parental support.

Abstract

This research article explores the potential of Artificial Intelligence (AI) and Chat Generative Pre-trained Transformers (ChatGPT) in revolutionizing the landscape of parental support and child care. With the advancement of generative AI, conversational agent technology, and Large Language Models, these tools can be a great support for parents to guide and assist their children. Recognizing the challenges faced by parents in navigating the complexities of child-rearing, this study seeks to explore the applications of AI, particularly leveraging the capabilities of ChatGPT, to provide valuable assistance and guidance. For this purpose, we perform a comprehensive examination of the existing 27 literature studies to investigate the potential of AI-driven platforms for offering advice tailored to the individual needs of the parents. We break down these research works into three domains based on their research criteria, and categorize each domain into two subgroups: pre-chatGPT era, and post-chatGPT era. At last, we investigate the significant dimensions of these literatures and present some valuable findings and future research directions.
Paper Structure (10 sections, 5 figures)

This paper contains 10 sections, 5 figures.

Table of Contents

  1. Introduction
  2. Method of Literature Selection and Analysis
  3. Analysis of Domain 1 - AI helping Special Need Children:
  4. Overview of Significant Papers from Domain 1:
  5. Analysis of Domain 2 - AI helping women in pregnancy and postpartum period:
  6. Overview of Significant Papers from Domain 2
  7. Analysis of Domain 3 - Ethics and Privacy for Parents while working with AI
  8. Overview of Significant Papers from Domain 3
  9. Discussion
  10. Conclusion

Figures (5)

  • Figure 1: Distribution of Selected Research Works.
  • Figure 2: Year-wise Research frequency.
  • Figure 3: Distribution of Empirical and Theoretical Research Works in the pre and post-chatGPT Era.
  • Figure 4: Department-wise distribution of Research Works in the pre-chatGPT Era.
  • Figure 5: Department-wise distribution of Research Works in the post-chatGPT Era.