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Rethinking Education with Generative AI: Examining the intersection of AI, learning, and digital inequality in the UK’s education system. 

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Digital Poverty Alliance

Digital poverty affects children and young people in profound and varied ways. As Generative AI has emerged as a critical topic of global discussion over the past two years, this paper examines the intersection of digital poverty, education, and the rapid rise of Generative AI.

This report examines the role of Generative AI in education, with a particular focus on its impact on existing digital inequalities in the UK. It provides a thorough review of current government and school-level policy and education plans for integrating Generative AI into educational settings, alongside insights gathered from students and parents during the research process.

From these findings, the report offers policy recommendations for future government action. The report underscores the need for a coordinated government policy framework and curriculum guidelines for Generative AI education - both in terms of teaching with AI technologies (e.g., the use of Ed).

Case study included in this report from Gavin Govinden, Headteacher at Furzefield Primary School and member of the AI in Education Strategy Panel.

Key Learning

The benefits and risks of using Generative AI in education have been widely debated. Generative AI technologies hold significant potential to enhance pupil learning, particularly for those from disadvantaged backgrounds. These tools can personalise student learning experiences, offering particular advantages for SEND students, ESL students, and learners from marginalised communities.

For example, Generative AI has been shown to provide essential support for SEND students by enabling tailored learning experiences through assistive functions and communication technologies. For educators, Generative AI offers the potential to reduce time spent on lesson planning and administrative tasks, allowing teachers to dedicate more time to face-to-face engagement with pupils.

Risks

However, these opportunities come with notable risks. Generative AI models are trained on pre-existing datasets that often exclude diverse perspectives, particularly those from marginalised and digitally excluded communities. As a result, these models can perpetuate inherent biases.

The use of Generative AI technologies also raises concerns about data privacy and may contribute to the underdevelopment of critical thinking skills among students.

While much of the current discourse on AI highlights its potential benefits and challenges, the increasing adoption of AI technologies across the UK necessitates an active and thoughtful approach to their integration into education. This approach must aim to minimise the risk of disadvantaged students being left behind and ensure that both young people and educators understand the full spectrum of risks and benefits associated with these technologies. It is also vital to prepare students for a workplace where AI technologies are playing an ever-increasing role.