Updates, insights and announcements from Edequity AI
Insights and analysis on education data, AI and policy implications
The first published methodology for systematic bias evaluation of conversational AI in schools. We test the Marge assistant across 46 matched query pairs spanning 8 protected characteristics, reporting a mean bias score of 3.35 (Minor) with candid findings on the limits of prompt engineering.
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An EdEquity AI Briefing Paper exploring how data-driven approaches can help address educational inequality and support better outcomes for all students.
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Analysis of the key changes in the Academy Trust Handbook and what they mean for digital transformation in education governance.
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A forward-looking analysis of the expected SEND review and its practical implications for schools, trusts and local authorities.
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