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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 explored what is known about how AI is already being used in decision-making in responding to the care and protection needs of children.

We heard 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 were 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).
  • Dr Shion Guha, Assistant Professor, Faculty of Information, University of Toronto

 

Source material / pre-reading

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