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With the emergence of generative AI, and its disruption within education, debates have been preoccupied with technocentric problems and deployment issues. This focus often overshadows the broader questions about crafting a responsible educational vision in an AI-dominated world. While generative AI may offer transformative potential for education, it also comes with challenges, from biases to facilitating academic dishonesty. However, focusing solely on these challenges diverts attention from deeper reflections on the wider implications of AI for education and society. This paper explores the current debates around generative AI within education, the need for a broader perspective on AI's role in this domain, and outlines areas for which further investigation is needed. It also proposes a framework for AI education emphasising a responsible approach.
Study at a glance
- Question: How can education craft a responsible vision and framework for using generative AI?
- Setting and data: Not stated in the abstract
- Method: Not stated in the abstract
Why it matters
Debates about generative AI in education are preoccupied with technocentric problems and deployment issues. This focus overshadows broader questions about crafting a responsible educational vision and reflecting on AI's wider implications for education and society.
Key findings
- Current educational debates focus heavily on technical and deployment issues, overshadowing broader questions about crafting a responsible vision for an AI-dominated world.
- Generative AI may offer transformative potential for education, but it also introduces challenges ranging from algorithmic biases to facilitating academic dishonesty.
- Focusing exclusively on immediate technical hurdles distracts from deeper reflections on the wider impacts of artificial intelligence on education and society.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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