Panel abstract by Jussi Kangasharju

Artificial intelligence in higher education is often framed around official pilots, administrative efficiencies, or institutional strategies. In fact, AI use in university administration — from chatbots in student services to predictive analytics in admissions — is often more advanced than its use in teaching and learning. Yet the most transformative AI on our campuses today is not what universities are formally adopting — it is what students are already doing. In bedrooms, libraries, and coffee shops, students have normalized ChatGPT, Grammarly, coding copilots, and AI translators as everyday study partners. This quiet bottom-up revolution is reshaping learning faster than most universities dare to admit.

For faculty, this raises uncomfortable questions. If students already have AI as their constant study companion, then our role is no longer to provide answers but to teach how to question them. We should be coaches of judgment, not gatekeepers of content. The risk is that faculty become reduced to “AI police,” chasing down misconduct rather than guiding learning. The opportunity is to use AI to free ourselves from drudgery and focus instead on mentoring, dialogue, and cultivating the human skills that cannot be automated.

The ethical stakes are equally high. There is already a double standard: many academics quietly use AI to draft emails, polish papers, or even code, while students are penalized for similar practices. If universities continue this hypocrisy, we will lose credibility with the very communities we serve. Ethics in this space cannot be reduced to compliance rules. They require AI literacy — the ability to interrogate outputs, to spot bias and manipulation, and to use these tools responsibly across disciplines.

The real challenge, then, is not whether universities will adopt AI, but whether they can catch up with the ways students already have. Are we leading the transformation of higher education — or merely running after our own students, trying to look like we are in control? At their best, universities are not just custodians of knowledge but playgrounds for experimentation — and embracing AI as part of that spirit is central to their mission.