It has been said many times: AI is changing everything! It is changing the way we conduct research, teach and run our operations, and this change is happening faster than most of us thought just a year ago. New technology requires clear guidelines. KTH is therefore introducing principles for the use of AI, while also establishing an Advisory Committee to strengthen our work in this area.
For a technical university, AI represents a fundamental transformation. We are helping to lead the way in this area through our research and by educating the engineers who drive AI development in industry. At the same time, we are facing pressure for change in virtually all areas.
KTH has long been building a strong foundation in AI research, covering areas such as machine learning, robotics and autonomous systems. Since 2015, we have been one of the partner universities in WASP (Wallenberg AI, Autonomous Systems and Software Program), Sweden’s largest research programme in this field. KTH also coordinates the Ellis Unit Sweden and is involved in major programmes such as Digital Futures, SeRC (Swedish e-Science Research Centre), DDLS (Data-Driven Life Science) and Cybercampus Sweden, all of which feature AI as a central and significant component.
We have also brought together research in the form of a strategic AI initiative with three focal areas: the fundamentals of AI; AI for scientific discovery; and AI for technology and society. Research that truly makes a difference often occurs at the intersection of AI and other fields, such as materials science, energy, the life sciences, transportation and urban planning. Therefore, we need to bring together the full breadth of AI, ranging from basic research to industrial applications.
Without computing power, there can be no competitive AI research. KTH’s computing capacity is a flagship resource within the national NAISS (National Academic Infrastructure for Supercomputers in Sweden) infrastructure and is used by researchers throughout the country. The PDC (Parallel Computing Centre), now part of the KCSC (KTH Center for Scientific Computing), is a key NAISS partner. Computing capacity is now as important a part of the research infrastructure as laboratories and advanced instruments, and these types of resources require the expert support provided by the KCSC.
AI is already integrated into our programmes, ranging from civil engineering and computer science to electrical engineering and machine learning master’s programmes. However, it is essential that all of our engineers, architects and teachers understand AI, both as a tool and as a force for social change. That is why we are now reviewing our entire educational portfolio and scrutinising the content to ensure that we are building the right competencies with our students. This is taking place at both the course and programme levels.
Guidelines and recommendations regarding the use of AI in teaching have been in place for some time. We have now established principles for the use of AI across KTH as a whole, and these will be published shortly. These principles are based on taking responsibility for our use of AI, complying with the law, acting ethically in line with KTH’s core values, and creating conditions that allow for agility, rapid development and impact. People must always be kept informed, and the use of AI must be transparent.
At the same time, AI touches nearly everything we do today, from research and education to infrastructure, administration and collaboration. This is why we are establishing a special AI Advisory Committee. The purpose is to compile issues, provide a holistic perspective and lay the groundwork for decisions, ensuring that our initiatives reinforce one another rather than moving in different directions. We need to act swiftly, as the reality is changing rapidly, and the work group will enhance our ability to do so.
There are, of course, plenty of issues on the agenda, but we are well equipped. We have the capability and knowledge to handle the AI revolution both responsibly and strategically!
