What is it about?

Education is changing because people can now learn online, on their own, or from anywhere in the world. AI tools help students understand subjects more easily and in ways that match how they learn. Some students can now do better simply because they know how to use AI well. AI can also help people with disabilities or learning difficulties get better access to education and jobs. However, using AI in education also brings problems, such as unfair advantages, bias, and ethical concerns. This chapter brings together ideas from earlier chapters to explain how AI can be used in education in a fair, responsible, and inclusive way.

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Why is it important?

This matters because decisions about AI in education will shape opportunities, skills, and trust for an entire generation. AI is already changing who succeeds in learning, how people learn, and who gets left behind. AI affects fairness in education. If some learners know how to use AI and others do not, education can become more unequal instead of more equal. AI can open doors or close them. Used well, it can help people with disabilities, learning difficulties, or limited access to teachers. Used poorly, it can exclude or disadvantage them. Learning is no longer just about knowledge. Being able to work with AI has become a basic skill, and education systems must recognize and guide this change. AI shapes how people think and learn. It influences understanding, decision-making, and independence, so it must support learning rather than replace it. Without clear guidance, risks grow. Bias, misuse, over-reliance on AI, and ethical problems can spread quietly through education systems.

Perspectives

This chapter serves as a necessary closing reflection: it reminds us that the real challenge of AI in education is not technical adoption, but ethical direction, educational purpose, and shared responsibility.

Dr. HDR. Frederic ANDRES, IEEE Senior Member, IEEE CertifAIEd Authorized Lead Assessor (Affective Computing), Unconscious AI Evangelist
National Institute of Informatics

Read the Original

This page is a summary of: Toward a Responsible and Inclusive AI-Learning Ecosystem, September 2025, IGI Global,
DOI: 10.4018/979-8-3373-2235-3.ch008.
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