The explosion of generative artificial intelligence (AI) tools has provoked both hopes and anxieties about the potential benefits and harms of this technology. In advanced economies, people are almost equally worried and optimistic about it. This is perhaps unsurprising. AI consumes vast amounts of natural resources yet promises to save the planet. It may improve human efficiency and productivity, […] … learn more→

When you ask ChatGPT, Claude, or any other “Chat” a question on any subject, it responds as if it were an omniscient interlocutor. Yet, this language is produced statistically, by integrating the multiplicity of contexts—which allows it to respond appropriately and differently each time, depending on the context of the utterance—by aggregating immense amounts of […] … learn more→

It can be estimated theoretically that more unique biological interactions exist than stars in our known universe. The biological foundations of life are built on an unimaginably vast network of interactions, where molecules, cells, systems and organisms are constantly colliding. For centuries, scientists and doctors have relied on targeted techniques and isolated observations. Through slow, iterative, […] … learn more→

A pervasive narrative has taken hold in education: generative AI (genAI) is an unstoppable force, and educators must adapt or be left behind. Technology companies market AI tools as the ultimate classroom assistants, while popular media warns that essay writing is dead. Teachers have long been labelled or framed by technology enthusiasts and policymakers as “resistant” and “risk averse.” Discourse about technology […] … learn more→

Contemporary artificial intelligence (AI) governance frameworks rest on a rarely made-explicit assumption: when a human operator receives output from an AI system, they must be able to meaningfully evaluate it. The provisions of the European AI Act relating to high-risk systems require transparency, explainability, and human oversight. Explicitly targeted are the systems used in the recruitment and […] … learn more→

Booking a trip by comparing hundreds of offers, writing a report from multiple documents, analyzing medical data, or automatically correcting a computer program: these tasks require thought, method, and a variety of skills. “Agent AI” now promises to accomplish them autonomously, orchestrating the necessary operations, using tools, and correcting its own errors. However, current agent […] … learn more→

As generative artificial intelligence produces increasingly convincing texts, images, and reasoning, a crucial educational question emerges: what does understanding still mean? In the age of information overload, developing a “well-formed mind” no longer consists of accumulating knowledge, but of learning to judge its depth, validity, and relevance to reality. Students today can produce work that […] … learn more→

During the first world war, the British government was looking for ways to help people stretch their limited food supplies. It found pamphlets from a noted 19th-century herbalist who said rhubarb leaves could be used as a vegetable along with the stalks. The government duly printed its own pamphlets advising people to eat rhubarb leaves […] … learn more→

K-12 teachers and students across the country are increasingly using AI in and out of classrooms, whether it is teachers turning to AI to refine lesson plans or students asking AI to help them research a particular topic. An estimated 85% of K-12 public school teachers recently reported that they used AI during the 2024-2025 school year – often […] … learn more→

It’s a familiar feeling: You start a text message, and your phone’s auto-complete function suggests several choices for the next word, ranging from banal to hilarious. “I love…” you, or coffee? Or you’re finishing an email, and merely typing the word “Let” prompts your app to suggest “Let me know if you have any questions” […] … learn more→