AI stands at the forefront of discussions on the future of higher education, igniting both anticipation and concern. Universities are exploring how AI could reshape research, redefine disciplines and transform academic practices. While its impact is most evident in the sciences and engineering, AI is also challenging core concepts in the humanities and social sciences, such as interpretation, authorship and human understanding. AI’s influence is paradoxical. In science and engineering, it enhances traditional methods of measurement and prediction. Yet in the humanities and social sciences, AI’s ability to generate text and automate interpretation disrupts fundamental ideas about meaning, creativity and human knowledge.
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