Current Event AI for learning

Tue

12

May

Think Tank: About AI and teaching

10:00 - 16:30

Aula Biologica

AI in Higher Education – Opportunities and Challenges

The AI for Learning initiative begins this spring with a teacher conference on the theme AI in higher education. Welcome to an inspiring kickoff featuring exciting guest speakers.

You will find the programme and registration below. Most of the programme will be conducted in Swedish. The second keynote of the day will be delivered in English. 

Welcome!

Programme

MORNING, PARALLEL WORKSHOPS

10:00–12:00, Naturvetarhuset

AI and Education: Risks and Potential

The purpose of this workshop is to establish a foundation for an academic approach to AI and to promote ethical and informed use within education. During the workshop you will have the opportunity to discuss, reflect on, and further develop ideas about both the opportunities and the challenges associated with AI.

With: Eva Svedmark, Centre for Educational Development (UPL)
Location: Läraren, UPL
Language: Swedish

AI in Assessment and Examination Practices

Generative AI does not create an examination crisis. It reveals one that has existed for a long time. Product focused assessment and high stakes exams have long dominated without necessarily providing reliable evidence of students’ actual knowledge. How can assessment and examination be adjusted to better achieve their purposes? The situation raises fundamental questions: What counts as knowledge, whose knowledge is assessed, and what kinds of acting subjects are shaped by our examination systems?

The workshop draws on ideas about assessment and GenAI as well as a framework of “knowledge in action”, aiming to provide a shared conceptual foundation and support concrete changes in participants’ own examination practices.

With: Oskar Gedda, Centre for Educational Development (UPL)
Location: Learning Lab
Language: Swedish

The Teacher’s Role and AI

This workshop focuses on how generative AI influences the teacher’s role in planning, conducting, and developing teaching in higher education. Based on didactic choices, we explore how AI can be used, evaluated, or deliberately set aside in relation to the purposes of teaching. Particular attention is given to how these choices influence student learning, interaction, and engagement. The goal is to strengthen professional judgement and develop a reflective and sustainable approach to AI in teaching practice.

With: Peter Vinnervik and Åse Tieva, Centre for Educational Development (UPL)
Location: NAT.D.200
Language: Swedish

AFTERNOON

13:00–16:30, Aula Biologica

13:00 Welcome

UPL introduces the AI for Learning initiative.

13:15 Keynote: Being Human Among Intelligent Machines

This lecture explores how intelligent systems are changing the conditions for learning, teaching, and academic judgement. Through four thematic perspectives – skill, development, knowledge, and responsibility – the talk reflects on what happens when technology reduces resistance, anticipates judgement, and turns competence into a service. The focus is not on the technology itself but on the human and institutional capacities that risk being weakened when friction and effort disappear. The lecture concludes by opening questions about Bildung, responsibility, and who in the future will actually have the opportunity to know.

Jonas Ivarsson, Professor, Department of Applied Information Technology, Division of Informatics, University of Gothenburg.
Language: Swedish

14:00 Students’ Perspectives on AI

US: Linus Granbom Olsson, Vice Chair responsible for education and student policy
NTK: Ester Olofsson, Student Union Chair and education officer
MS: Rut Löfgren, representative in the EC2U Student Council

Language: Swedish

14:20 Coffee break

14:45 Keynote: Responsible AI – Moving Beyond Hype to Human Centered Innovation

Artificial Intelligence is changing how we work, study, and connect. However, conversations about AI are too often driven by hype or fear. Generative AI and large language models raise urgent questions: What really is AI? Who decides how it develops? And how should we balance innovation with societal responsibility?

This talk challenges the view of AI as an unstoppable force and instead frames it as the outcome of human choices shaped by values and priorities. Responsibility in AI is not a limitation but the key to creating systems that foster trust, fairness, and long term progress. Far from slowing innovation, ethical design, governance, and regulation are what make sustainable innovation possible. By addressing trade offs openly and focusing on societal well being, we can ensure that AI contributes to human flourishing, not just technological advancement.

Virginia Dignum, Professor, Department of Computing Science, Umeå university.
Language: English

15:15 Examples from Teachers

Why does AI do this to my text?
Experiences from a course in Russian writing.
Simone Mellqvist, Department of Language Studies.

Can AI support student reflection?
Urban Johansson Kostenniemi, Department of Clinical Microbiology.

AI as a supervisor
Göran Wretling, Department of Creative Studies. 

Interactive cases with Copilot
Fredrik Sjödin, Department of Psychology.

With or without AI
Thomas Mejtoft, Department of Applied Physics and Electronics.

Language: Swedish

16:20 Closing

Registration

Please note that registration for the morning workshops is separate from the afternoon session.