Artificial intelligence for children
Unicef 's policy guidance and beyond
Bibliographic Data
| ID | 7149573 |
|---|---|
| Authors | Suyu Liu (0000-0003-4966-8047, Global Policy Advocacy and Regional Cooperation Unit United Nations Convention to Combat Desertification Bonn Germany, corresponding author), Wenjun Ding (0000-0001-6460-1129, Education Division Oxford University Press Oxford UK, corresponding author) |
| Year | 2025 |
| Volume | 39 |
| Issue | 1 |
| Pages | 374-382 |
| Publication date | 2025-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-0605 • E-ISSN: 1099-0860 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/chso.12915 |
| OpenAlex | W4403890836 |
| Language | EN |
| Citations received | 2 |
| References cited | 21 |
This policy review introduces the Policy Guidance on Artificial Intelligence (AI) for Children, produced by the United Nations Children's Fund (UNICEF). This Policy Guidance is the first international‐level output to boost the development of child‐centred AI and relevant policies. A main contribution of this Policy Guidance is that it outlines the foundations, requirements and specific recommendations for developing child‐centred AI and surrounding policies. The shortcomings of this Policy Guidance are also introduced, especially the insufficient gender responsiveness and age sensitivity, plus relatively low representation of the developing world. Possible suggestions for future updates of the Policy Guidance and improving policies on child‐centred AI are provided in this review, such as the inclusion of a broader age range of children during the consultation process. The coexistence of contributions and limitations of this Policy Guidance reflects the situation of development of child‐centred AI and relevant policies, which is currently immature but promising
Political science · Child and Adolescent Health · Poverty, Education, and Child Welfare · Resilience and Mental Health
Digital Divide
Human-Centered Artificial Intelligence
Contextualising the link between adolescents’ use of digital technology and their mental health
The effect of siblings’ sex ratio on physical capital, human capital, and gendered time use among adolescents in Ethiopia
Risk factors of adolescent exposure to violence in Burkina Faso
Assessing and Enhancing the Research Consent Capacity of Children and Youth
Enabling Children's participation
They are watching you do everything online’
Supporting Primary School Children’s learning in Digital Spaces at Home
Exploring possibilities for child participation in guideline development
Unconditional cash transfers and safe transitions to adulthood in Malawi
How children spend their out-of-school time – A comparative view across 14 countries
A Qualitative Interview With Young Children
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |