University of Zürich

12/15/2025 | News release | Distributed by Public on 12/15/2025 03:21

“AI is changing education fundamentally”

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15.12.2025 FutureU

"AI is changing education fundamentally"

AI is rapidly changing how we work, learn and do research. This also presents a challenge for universities. The UZH think tank FutureU has developed future scenarios for universities in the digital age. We met with professor of medicine Claudia Witt and political scientist Karsten Donnay to find out what universities will need to do in the future, and how they should position themselves.
Interview: Thomas Gull and Roger Nickl; Translation: Michael Jackson
Committed to the university of the future: Claudia Witt and Karsten Donnay in the UZH faculty building. (Image: Stefan Walter)

Claudia Witt, Karsten Donnay, digitalization - especially through AI - is progressing at enormous speed. What does this mean for society?

Claudia Witt: My impression is that many things are happening at a very fast pace, without we as a society deliberately controlling them. We're reacting to developments instead of actively shaping them. There aren't enough moments of reflection when we pause to ask whether we really want this and how we are exploiting the new opportunities. This dynamic is being seen on many levels. Some of the changes brought about by AI are visible, for example in search engines or software, while others remain in the background. As a society, we often only perceive what's immediately apparent, and so we lose sight of the bigger picture.

Karsten Donnay: We're also seeing this in the latest surveys. As a whole, the Swiss population has a positive attitude toward digitalization. But when it comes to AI, there's a palpable level of skepticism and fear. This is due less to the technology itself and more to the speed of change and the lack of transparency. We often don't know exactly where AI is being used, and this gives us a feeling of insecurity. Policymakers are struggling to keep up as well. This gives the impression that we're chasing the tail of developments rather than actively shaping them.

What you describe is akin to feeling overwhelmed. What role does the fear of losing control or of change play in all of this?

Donnay: Fear is a key factor. Many people are seeing how AI is suddenly being integrated into work processes, information systems or everyday technologies. If you don't understand how it works, it's bound to make you feel insecure. At the same time, everything is happening very quickly: we're seeing the labor market, sources of information and forms of communication change in a short space of time. This pace of change leaves hardly any time to adapt.

Witt: This also applies to disciplines like medicine. Doctors are suddenly having to grapple with new digital tools that are impacting their work processes. Many of them recognize the potential, but often they don't have the time to really focus on how to use these tools.

How exactly is AI changing medicine? Where do you see opportunities - and where are the risks?

Witt: AI is used most widely to analyze images - for example, it's used in radiology to detect breast cancer. Studies have shown that AI performs at a similar level to, or is even better than, radiologists in evaluating certain images. At the same time, AI is increasingly being used in administration, for example to write reports or in documentation. This really can reduce the workload - provided the systems are well integrated and work reliably. I view it as a tool that provides support. Even with automatically generated reports, in the end a doctor always checks the accuracy of each report and signs it. It's not a question of humans or machines, but a case of humans and machines working together.

Donnay, your work focuses on society's perception of AI. Where do you see positive developments?

Donnay: Many of the potentially positive effects of AI are currently still just promises. You can see improvements in everyday applications - such as the processing of images in smartphones or translation tools. But the wider benefit to society is difficult to measure because we're still in an early phase of its integration. Younger people are often much more willing to experiment. Many of them use ChatGPT or similar tools as a matter of course. Older generations or groups who are less tech-savvy are still hesitant. This disparity is leading to a split in the way people experience AI. In addition, companies are also currently experimenting with the technology. There are countless tools, but often there's still a lack of certainty over which ones will become established and which will actually be beneficial. This uncertainty is shaping the public discourse.

If we just use AI simply because it's available instead of integrating it in a purposeful way, we'll lose agency over our actions.

Claudia Witt
Professor of medicine

How are you dealing with this dynamic at the University of Zurich?

Donnay: We're also seeing great uncertainty here. Students are asking themselves: what's allowed? What's ethically acceptable? That's why our faculty has developed clear guidelines to promote transparency. And we as a department have also drawn up very specific recommendations for our teaching staff. Students should disclose whether they've used AI - to proofread text or analyze data, for example. It's not about banning AI, but using it responsibly. We teach how to use these tools critically: where do they really help? Where do they create problems? We're learning as we go along. The teaching staff are also experimenting - for example, they're using AI to help them prepare teaching materials, but it's always the human being who bears ultimate responsibility.

Witt: I have a similar view. We're all currently learning. What's important is that we give students and teaching staff the freedom they need to be able to experiment so that innovation isn't stifled by rules that are too rigid. But at the same time, there also need to be ethical guardrails to safeguard quality and integrity.

What is UZH's basic stance on how AI should be used?

Donnay: We're taking a pragmatic approach. The reality is that over 90 percent of students are already using AI. Banning it isn't a realistic option. Instead, we're setting the stage by explaining what's allowed, what isn't, and how you can work with it responsibly. At the same time, we're gaining experience and constantly adapting the rules.

UZH's Digital Strategy Board has now established FutureU, a think tank that focuses on the role of the university in the digital age. You were involved with its first position paper. The core idea is to actively shape the way AI is used. What do you want to achieve with this?

Witt: With this think tank, we've created a place where we can consciously reflect on the future - beyond day-to-day operations. We don't just want to respond to developments; we want to actively shape them. The position paper is a first step. It's intended to provide some guidance and highlight where the university can have an impact. We're keen to encourage the community to ask themselves how we want to shape both research and teaching as we look far into the future. We're using futurology methods to develop scenarios that represent well-founded visions.

What are the challenges that universities face, and what role will they play in the future?

Witt: AI is fundamentally changing the education landscape. Knowledge is no longer exclusive. You can already learn lots of things online, including through commercial platforms. In the future, AI tools will also increasingly generate learning content. Research is also no longer taking place only at universities, with more and more companies now having their own research centers. This means the role of universities is changing.

Donnay: In some areas, industry already leads the way - for example, in the development of AI technologies. Universities have fewer resources and smaller teams. Our advantage is the depth of our academia, reflection and critical thinking. We're a safeguard for the quality and credibility of knowledge. Degrees and certifications still carry significant prestige - but even this may change if labor markets place increasing emphasis on practical skills.

So what will the university's special value be in the future?

Witt: The university's strengths include its range of disciplines working together and the link between research and teaching. We can look at complex topics from different perspectives and work on them in an interdisciplinary and transdisciplinary way. Especially in the age of AI, this breadth will be more important than ever. We learn from doing research and research by teaching - this is a unique selling point that companies just don't have.

Donnay: The big issues in society can only be solved by adopting an interdisciplinary and transdisciplinary approach. At UZH, people from very different disciplines work together. Such collaborations are essential if we want to truly understand complex phenomena. This requires not just knowledge, but also the ability to speak the language of other disciplines.

Witt: This is why it's so important that we have structures like the School for Transdisciplinary Studies, where students study and conduct research in a transdisciplinary way. It shows that people at UZH have understood how crucial transdisciplinary thinking is for the future. If you just stick to your own discipline, you won't be able to meet the challenges of the future.

In the FutureU position paper, you've developed scenarios for 2050. Where will we be 25 years from now?

Witt: The world will be barely recognizable 25 years from now. Technology will be everywhere, fundamentally changing the way we access knowledge. By then, we may be linked directly to information sources, with our thinking then merging to a certain extent with data streams. At the same time, robotics will be a staple feature in many areas of life - in care, industry or research. This will change the labor market massively: many routine activities will disappear, and new professions will emerge. Research itself will also change. If it's influenced too heavily by industrial interests, there's a danger that the social perspective will be overlooked. Universities must therefore be given the space to conduct research that doesn't have to be ripe for economic exploitation straight away.
In teaching, immersive, interactive learning environments will be commonplace. Students will work with their own personal AI mentor - AI buddies - who will support their own individual learning. Our role will be to promote a critically reflective approach to knowledge - this will still be the key skill to have in the future.

The reality is that over 90 percent of students are already using AI. Banning it isn't a realistic option.

Karsten Donnay
Political scientist

In the position paper, you view the university as a "trustworthy institution," as a center of trust for society. Why is trust so important for universities?

Witt: Trust is the bedrock of any academic institution. It's a reciprocal thing: an institution must act credibly, and society must be prepared to place its trust in it. Historically, universities were considered bastions of reliability and expertise. We need to breathe new life into this image in the digital age. Surveys conducted on digitalization topics reveal that people's trust in universities remains high - significantly higher than it is in industry. This is because we're not driven by profit and embrace diversity. It's this very openness to discussing different perspectives that forms a key element of trustworthiness.

Donnay: Trust is also linked to the role of science in society. If research is skewed too heavily toward economic interests, there's a risk that the long-term questions won't be explored: what really benefits society? Where do undesirable developments occur? This is where the critical role of universities comes in. Our role is not just to produce knowledge, but also to question developments - and make clear what consequences they may have. This critical detachment remains essential. Politicians and the public need reliable, independent partners that can provide guidance. Universities should initiate debates, open up spaces for critical thinking and bring together different perspectives.

How is the relationship changing with big tech companies like Google and other firms that invest heavily in research themselves?

Witt: The big tech companies will continue to expand their dominance. They have vast resources and volumes of data at their disposal - and this is only set to increase in the coming decades. Nevertheless, it's important for universities to retain their independent role. It's sensible and often necessary to cooperate, but this needs to be on an equal footing. What makes universities so strong is that they pursue issues that are relevant to society - without having a primarily economic focus. We can allow ourselves to engage in research with an open mind as to the outcome. At the same time, we need dialogue with the business community so we can work together to shape the future.

Donnay: There's a lively level of engagement between the university and industry anyway. Researchers move to companies and back again - knowledge circulates. This is so valuable because it helps everyone to learn more. It's also vital for universities to fulfill their educational mandate. Most of our graduates don't go on to work in research, but in many different roles in business, politics and wider society. If they take critical thinking, a reflective approach to data and ethical responsibility with them into these roles, they'll have a relevant impact on these areas. So teaching isn't just about training people to do a job, but is a school of thought - and that's why it has a lasting impact on society.

You mentioned the openness of science. What exactly does this mean for trust?

Witt: Openness is a key pillar of scientific credibility. Open science means making methods, data and results transparent so that other researchers can review them, understand them and also make use of them for further research. Open science makes research verifiable and enhances its quality. This is what distinguishes us from research in the private sector, where lots of things aren't accessible.

Isn't it a little naive to view the university as a trustworthy institution and as a critical sparring partner for business and society? These are liberal ideals that have long been taken for granted. In the US, they're currently being fundamentally challenged. Isn't it conceivable that there will no longer be any demand for the independent expertise of universities in the future?

Donnay: There's certainly a risk of that. In our future scenarios, we also discussed these kinds of developments - right through to the question of whether governments still want to promote independent research at all. In the US, we're seeing these trends toward the political marginalization of critical science. This shows that independent, open universities can't be taken for granted. This is precisely why we must take active steps to ensure that our role is still recognized - politically, socially and institutionally. We need to make it clear why free research is absolutely essential for democracy and progress.

Witt: This isn't just an end in itself. Universities are important because they're a safeguard for diversity and the public good. They also provide space for minority positions and enable society to reflect on itself. In Switzerland, there's a high level of trust in universities, and I'm optimistic that we can maintain this level.

What comes next after the position paper?

Witt: The think tank remains active. We're currently focusing even more on trustworthiness and will then be exploring the skills that researchers and teaching staff will need in the future. Next year, we want to hold another future workshop to work out specific scenarios for what a university might look like in the digital age.

Donnay: At the same time, we're linking this work to other initiatives - such as UZH's AI strategy. Research, teaching and digitalization need to be considered as a whole. We'll engage with other universities, collect best practices and apply them to our structures. It's important to combine short-term measures with long-term perspectives. In one or two years, we want to be in a position where we can actively shape technological developments - without losing our students. That's because if they sense that the university is lagging behind reality, we'll lose our relevance.

How open is the university itself to this change?

Donnay: In recent years, UZH has shown that cultural change is possible - the Digital Society Initiative involving more than 1,400 researchers is a good example of this. It demonstrated that cooperation, openness and common goals are the foundation for successfully shaping the digital transformation.

Witt: I'm seeing a lot of openness to boldly trying something new - while still maintaining critical thinking. My view is that we'll still be a relevant, credible institution in 2050 if we expand our unique attributes and actively help shape the future.

Interview: Thomas Gull and Roger Nickl; Translation: Michael Jackson

FutureU: Universities in the Digital Age

The FutureU: Universities in the Digital Age think tank is one of the ways that UZH is responding to the challenges of digital transformation. It initiates and supports an active, critical and forward-looking examination of the many different developments, opportunities and questions that the digital future presents among those affiliated with UZH. A core team develops different future scenarios from which strategic options for taking action can be derived.

Project leader and contact: [email protected]

UZH.ai

Researchers at UZH are developing artificial intelligence, using it specifically in their research and exploring its impact on the economy and society. Since September 2025, UZH.ai has been linking together AI researchers at the University of Zurich even more closely and promoting dialogue with industry, politicians and society on the topic of AI.

Project leader and contact: [email protected]

Personal profiles

Prof. Karsten Donnay is a political scientist and leads the research group for Political Behavior and Digital Media at the Department of Political Science. In his research, he explores the impact of the digital transformation on politics and society, with a particular focus on digital online media. He is a DSI professor and co-director of the Population Research Center at the University of Zurich.

Prof. Claudia Witt is a physician and professor in the Faculty of Medicine. She conducts research on digital health topics. In addition, she is actively committed to the digital transformation as a co-director of the Digital Society Initiative, a member of the Digital Strategy Board and facilitator of the FutureU think tank.

University of Zürich published this content on December 15, 2025, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on December 15, 2025 at 09:21 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]