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AI for social good.

Philip Treleaven1, Daniel Brown1

  • 1Department of Computer Science, University College London, London, UK.

Royal Society Open Science
|June 12, 2025
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Summary
This summary is machine-generated.

Generative AI (GenAI) offers personalized education for disadvantaged groups, including prisoners and probationers, to reduce reoffending. This AI for Social Good initiative transforms futures and addresses societal challenges.

Keywords:
AIGenAIeducationsocial good

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Area of Science:

  • Artificial Intelligence
  • Education Technology
  • Social Justice

Background:

  • Reoffending is a significant societal issue in the UK, costing billions annually.
  • Education is identified as a key factor in deterring reoffending.
  • Generative AI (GenAI) presents opportunities for social good through personalized learning.

Purpose of the Study:

  • To describe the Generative AI Education (GenAIE) programme.
  • To demonstrate the use of GenAI for personalized education for disadvantaged populations, specifically within the UK Justice sectors.
  • To highlight the potential of GenAI for social benefit and transforming lives.

Main Methods:

  • Utilizing GenAI tools, such as ChatGPT, to deliver tailored educational content.
  • Developing personalized training materials for probationers and prisoners.
  • Collaborating with educational professionals and institutions like University College London and MegaNexus.

Main Results:

  • The GenAIE programme has engaged over 53,400 users as of November 2024.
  • Accumulated over 596,600 hours of learning in Education, Training, and Employment.
  • Expanding to support social services key workers and their clients through local councils.

Conclusions:

  • GenAI can be a powerful tool for social good, offering transformative educational opportunities.
  • Personalized education through GenAI can effectively address the needs of socially excluded groups.
  • The GenAIE programme demonstrates a successful model for leveraging AI to reduce reoffending and improve societal outcomes.