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fairai4edtech project full details

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Champion: Miriam Fernandez
Professor in Responsible Artificial Intelligence Email Icon Website Icon RDF Icon
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Participant(s):Paul Mulholland, Vaclav Bayer, Alba Morales Tirado

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FairAI4EdTech: Promoting Equity in Higher Education

A socio-technical approach. Our project is dedicated to advancing socio-technical approaches to fairness in Higher Education (HE) within the UK

Our project is dedicated to advancing socio-technical approaches to fairness in Higher Education (HE) within the UK, with a specific focus on addressing bias and discrimination in AI-driven learning analytics systems. Institutions worldwide are recalibrating their data strategies for positive impacts on student success. However, the integration of fairness, both technically and socially, remains an understudied aspect of these strategies.

Leveraging the award-winning OUAnalyse (OUA) system at the Open University, our project seeks to establish a framework of best practices, risks, and compliance with UK regulations. This framework aims to guide HE institutions in the UK as they develop their digital strategies, emphasising the core principles of fairness and responsible AI.

The project will contribute to the broader discourse on ethical AI implementation in education, aligning with the UK government’s innovation-focused approach to AI regulation. Collaboration with regulatory bodies, such as The Equality & Human Rights Commission and The Information Commissioner’s Office, will ensure compliance of the provided framework with equality and human rights law, data protection, and sector-specific legislation.

Partners
  • UK Research and Innovation

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

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