Innovating responsibly: ethical considerations for AI in early childhood education
University of South Florida · Shanghai Normal University
Abstract
Abstract The rapid integration of artificial intelligence (AI) into early childhood education (ECE) presents transformative possibilities but raises urgent ethical challenges that demand immediate attention. This scoping review examines 42 studies to explore key ethical concerns in four interconnected areas: data privacy, impacts on child development, algorithmic bias, and regulatory frameworks. Findings reveal significant gaps in safeguarding children’s sensitive data, with inadequate protections against breaches, profiling, and misuse. Emotional AI tools, such as social robots and emotion-recognition technologies, offer novel learning opportunities but risk undermining relational learning and fostering…
Citation impact
- FWCI
- 92.87
- Percentile
- 100%
- References
- 66
Authors
3Topics & keywords
- Engineering ethics
- Early childhood education
- Psychology
- Political science
- Environmental ethics
- Sociology
- Developmental psychology
- Engineering