Can AI improve decision-making and outcomes when it comes to children's care and protection?

For at least the last decade, Artificial Intelligence (AI) has increasingly been seen as a possible answer to both how to make public services more efficient and a way to improve decision-making to lead to better outcomes for people needing support.

For this session in our Emerging Insight Series of webinars, we will explore what is know about how AI is already being used in decision-making in responding to the care and protection needs of children.

Join us on Tuesday 10 February, when we'll hear about examples from across the world of where systems using AI have been built, the safeguards considered and put in place, how these have been working, and what we can learn from these international case studies, including from the United States of America, the UK and Canada.

For this webinar and discussion, we'll be joined by:

• Professor Emily Putnam-Hornstein, The John A. Tate Distinguished Professor for Children in Need, University of North Carolina and Faculty Co-Director of the Children's Data Network
• Joanna Redden, Associate Professor, Western University and Co-Director, Data Justice Lab and Starling Centre
• Professor Rhema Vaithianathan, Professor of Health Economics and Director for the Centre for Social Data Analytics (CSDA), Auckland University of Technology (AUT).

There will be space for questions and comments during the webinar.

Why should I attend?

Attendees of this webinar will:

• Gain an understanding of how AI is currently being used in children's care and protection
• Learn from international case studies and examples
• Explore the risks, limitations and opportunities of AI in decision-making
• Build confidence to engage in conversations about AI in children's services

Who should attend?

This webinar is open to anyone with a professional and personal interest in responding to the care and protection needs of children and young people, and supporting their families in Scotland, the UK and anywhere in the world. This includes:

• National and local policy leads and decision-makers
• Local service commissioners
• Service managers responsible for shaping and delivering key services
• Practitioners in social care, health, and education
• Parents and carers
• Students and academics in social care studies

Source material / pre-reading

• Using a Machine Learning Tool to Support High-Stakes Decisions in Child Protection: https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/7482
• Automating Public Services: Learning from Cancelled Systems: https://carnegieuk.org/publication/automating-public-services-learning-from-cancelled-systems/

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