Date
Publisher
Unesco
Artificial intelligence (AI) is reshaping the way we learn, teach and make sense of the world around us but it is doing so unequally. While one-third of humanity remains offline, access to the most cutting-edge AI models is reserved for those with subscriptions, infrastructure and linguistic advantage.
These disparities not only restrict who can use AI, but also determine which knowledge, values and languages dominate the systems that increasingly influence education.
This anthology explores the philosophical, ethical and pedagogical dilemmas posed by disruptive influence of AI in education. Bringing together insights from global thinkers, leaders and changemakers, the collection challenges assumptions, surfaces frictions, provokes contestation, and sparks audacious new visions for equitable human-machine co-creation.
Covering themes from dismantling outdated assessment systems to cultivating an ethics of care, the 21 think pieces in this volume take a step towards building a global commons for dialogue - a shared space to think together, debate across differences, and reimagine inclusive education in the age of AI.
Study at a glance
- Question: How can generative artificial intelligence transform assessment and foster equitable, inclusive education?
- Setting and data: Global; 21 think pieces from thinkers, leaders, and changemakers.
- Method: Anthology of 21 think pieces.
Why it matters
Artificial intelligence is reshaping how we learn and teach unequally. Disparities in access restrict who can use AI and determine which knowledge, values, and languages dominate systems that increasingly influence education.
Key findings
- Cutting-edge artificial intelligence reshapes education unequally, favoring users with subscriptions, infrastructure, and linguistic advantages while one-third of humanity remains offline.
- Disparities in technology access determine which knowledge, values, and languages dominate the artificial intelligence systems that influence education.
- Generative artificial intelligence disrupts education by challenging outdated assessment systems, existing pedagogical assumptions, and traditional human-machine interactions.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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