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Universities are accelerating their adoption of artificial intelligence. But in that speed, something essential risks being lost. This essay argues for a deliberate pause—not as resistance, but as a condition to preserve depth, judgment and the role of friction in learning.
Engineering is no longer just about building systems, but about shaping outcomes. As AI becomes more capable, the question shifts from what we can build to what we are willing to be responsible for—and how universities prepare engineers for that reality.
As artificial intelligence enters education, care and social work, the nature of these professions becomes clearer. Not efficiency, but presence defines them. This essay explores why human judgment, context and relationships remain essential in an increasingly system-driven world.
Artificial intelligence is transforming legal work, but not legal judgment. As analysis and drafting become automated, the core of law remains human—requiring interpretation, responsibility and the ability to justify decisions under conditions of uncertainty.
As artificial intelligence makes knowledge instantly accessible, universities face a deeper institutional shift. This essay explores how higher education must move beyond information transfer and focus on judgment, responsibility and the conditions under which real learning takes place.
Artificial intelligence is reshaping higher education at its core. This series explores how universities across Europe must rethink teaching, knowledge and responsibility—and asks what should be automated, what must remain human and what education is ultimately for.
House prices in the Netherlands are rising, according to ABN Amro. As soon as the bank announces these predictions, markets react. To many, it seems like a simple economist with a spreadsheet. But behind the scenes, another mechanism is at work: algorithms processing data, detecting patterns and forecasting future trends.
