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Ethical AI in EDU: Predicting student risk

Thu, 23 May

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Webinar

Join us in a chat with Neil Miley, DCEO Dixons Academies Trust, and Graham Feek, DCEO Greenwood Academies Trust as we explore their ethical approaches to using predictive analytics to forecast attendance and contextual safeguarding risk.

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Ethical AI in EDU: Predicting student risk
Ethical AI in EDU: Predicting student risk

Time & Location

23 May 2024, 16:00 – 17:00

Webinar

Guests

About the event

Join Matt Woodruff in conversation with Neil and Graham about their approach to predicting student risk, ensuring that responsible AI principles are followed at all times.  Dixons has been working to integrate a predictive model for students attendance risk both 'tomorrow' and for the next five days.  After an extensive period addressing ethical approaches, Greenwood are moving towards models able to predict contextual safeguarding risk.  As Open Education AI Founding Partner MATs, the work completed is being shared openly. Matt will round off the conversation with clear guidance on how any MAT can get started with their own data lake, whatever their stage of maturity on the journey of data, analytics and AI.

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