AI, Brain, and Child: navigating the intersection of artificial intelligence, neuroscience, and child development
Year: 2025
Type: article
Abstract: In an era marked by rapid advancements in artificial intelligence (AI) and cognitive neuroscience, the intersection of these fields holds transformative potential for child development and educational practices. This launch editorial introduces AI, Brain and Child (ABC), an open-access journal dedicated to exploring the dynamic interplay between AI, neuroscience, and child education. By fostering an interdisciplinary dialogue among educators, researchers, clinicians, and policymakers, ABC aims to examine the multifaceted roles of AI and neuroscience in shaping cognitive, social, and emotional growth among children. The journal seeks to democratize access to high-quality research, addressing both the beneficial applications and ethical challenges posed by AI and neuroscience technologies. Through this platform, ABC aspires to promote evidence-based practices, enhance educational outcomes, and tackle pressing developmental and educational issues. By welcoming diverse contributions—from empirical research to policy analysis—ABC endeavors to bridge the gaps between theory and practice, equipping stakeholders with the insights needed to navigate the complexities of educating children within a technologically enriched landscape. This new scholarly endeavor marks a new era of global community to partake in the crucial conversation surrounding the opportunities and responsibilities inherent in integrating AI and neuroscience into education.
Source: AI Brain and Child
Authors: Philip Hui Li, John Chi-Kin Lee
Institutions: Education University of Hong Kong, University of Hong Kong
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $2,390
OpenAlex ID: W4408313282