AI for children
AI systems are "machine-based systems that can, given a set of human-defined objectives, make predictions, recommendations, or decisions that influence real or virtual environments" --- OECD's Recommendation of the Council of Artificial Intelligence.
AI algorithms are starting to play a variety of roles in the digital ecosystems of children - being embedded in the connected toys, apps and services they interact with on a daily basis for learning, entertainment or keeping them safe. Yet, understanding the ways that AI-systems are being used in systems for children, and their harm and impact is still a new and emerging area of investigation.
Our AI for Children project has the following missions:
Support children's self autonomy in the age of AI
Investigate new frameworks for assessing age-appropriateness of AI algorithms
Research new respectual AI system design patterns for children
AI for Children
The Policy Guidance on AI for Children published by UNICEF in 2020 articulated the opportunites that can be offerred by AI for children, including
However, the policy (p19-20) also articulated key risks and concerns related to the application of AI in children's life, including
Current design chalelnges for developers
Complex technology landscape to avoid/minimise data collection/sharing
Lack of alternatives to the data-driven economic or innovation model
Lack of best practice guiance on age appropriate design for children
future design of ai systems for Children
So, what should an age-appropriate AI system look like?
in 2021-22, through a systematic review of ~2,000 peer-reviewed publications over the last decade, and an analysis of 5 leading data regulation frameworks in the UK, Europe and USA, we identified 5 gaps in existing designs and development of AI systems for children, as reported in the academic literature.
From here, we propose a focus of 5 design principles in developing future, age-appropriate AI systems for children, taking in to considerartion of their best interests and particular vulunterability.
Our research finding coorelates with the new UNICEF AI for Children policy report II.