Research Engine
From developmental science to safer AI design.
The evidence base has to move faster than adoption.
Children are already using fluent, adaptive, emotionally responsive AI systems. Longitudinal evidence will take time. iRAISE organizes the strongest available knowledge now: developmental science, early empirical findings, product expertise, expert judgment, and youth voice.
Child-AI Labs
Structured working sessions where independent child-development experts meet R&D and trust-and-safety teams to turn evidence into product questions, design principles, and research gaps.
- Grounded in literature review before the workshop.
- Built for direct exchange between researchers and product teams.
- Published as open reports after each Lab cycle.
Scientific briefs and mappings
Evidence syntheses that translate developmental science, adjacent findings, and expert judgment into guidance for policymakers, regulators, and international organizations.
- Age-sensitive analysis across cognitive, socio-emotional, and relational development.
- Briefs for international calls for evidence and policy processes.
- Annual mapping of opportunities, safeguards, and design priorities as the evidence base matures.
A path from Lab evidence to decisions.
The strongest outputs sit in a sequence: convene the right expertise, publish usable evidence, then carry it into product and policy decisions.
Child-AI Labs
The primary research mechanism: structured sessions that bring child-development experts into direct dialogue with AI product, R&D, and trust-and-safety teams.
Adolescents & Anthropomorphic AI
The first Lab cycle turned questions about anthropomorphic AI, wellbeing, and relational design into an open report for the wider field.
Scientific mappings and briefs
Evidence is translated into policy-facing mappings, including G7 scientific work on GenAI's impact on child and adolescent development.
2026 research agenda
The next phase focuses on practical guidance for learning, reasoning, age-sensitive safeguards, and international policy use.
Fall 2026
Lab on learning and critical thinking
A new cycle on beneficial AI design for learning, reasoning, autonomy, and active critical thinking.
Paris Peace Forum 2026
Annual mapping overview
A public synthesis of opportunities, safeguards, and design priorities as evidence matures.
2026-2027
Scientific briefs
Targeted briefs for international policy and regulatory processes.
Read the public evidence base
iRAISE makes research outputs public so the field can move toward practical design and governance choices.
Access the Resource Library