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4. No learner left behind: Closing AI’s equity gaps

Our research shows

Without intentional design, AI can deepen the digital divide. Institutions that democratise AI access, ensure platform accessibility, and support faculty training in inclusive pedagogy can turn AI into a tool for equity, not exclusion.

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29% more educators in the U.S. plan to use AI to support students with accessibility needs in the coming academic year.

  • Accessibility gaps persist—only 28% of leaders in the UK feel their current digital systems fully meet inclusion standards.

  • First-generation, low-income, and underrepresented students are less likely to use generative AI tools.

  • Students want ethical guidance and transparency in AI use.

“AI is really more helpful than me emailing my professor and waiting a few hours or even a few days for a response, when I could be getting my assignment done.”

Man working on computer
Women working on computer

Actions to consider

  • Offer institution-funded access to generative AI tools.
  • Incorporate accessibility and digital inclusion into all AI and edtech evaluations.
  • Monitor use across demographics to identify inequities early.
  • Embed equity and ethics into institutional AI policies and course design.
Group setting in a classroom

Key takeaway

Equity isn’t an outcome of AI adoption, it’s a prerequisite. Ensuring every learner benefits equally is the foundation of responsible innovation.