| fairai4edtech |
Description |
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. |
