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Risks and Benefits with AI in Research - Ethical Perspectives

23 april 2025 13:00 till 16:15 | Konferens

Illustration. Robot AI providing the fruit of knowledge to human agains a bacground og at time space vortex.

Half day conference about ethical perspectives of using AI in research organised by AI Lund at Lund University.

Risks and Benefits of AI in Research: Ethical Perspectives" provides a forum to examine how artificial intelligence is transforming the research landscape. It explores AI's potential to unlock new frontiers of knowledge, while addressing risks such as bias, misuse of data, and erosion of trust. Ethical perspectives guide discussions on accountability, transparency, and equitable access to AI-driven tools.

By bringing together researchers, ethicists, and research funders, the conference aims to balance innovation with responsibility, ensuring AI contributes positively to scientific progress while safeguarding research integrity.

When: 23 April 13.00 to 16.15 (CET)

Where: Palaestra, Paradisgatan 2, Lund, Sweden and online on zoom

Spoken language: English

Program outline

13.00 Presentations

Moderator: Kalle Åström, Professor Computer Vision and Machine Learning, Coordinator AI Lund

Online moderators:

Ellinor Blom Lussi, Doctoral student, AI and Society, Lund University
Bibi Imre-Millei, Doctoral student, Political Science, Lund University

Welcome

Per Mickwitz, Pro Vice-Chancellor for Research, Sustainability and Campus Development, Lund university

Science Publishing and AI

Anita Dewaard, Vice-President for research collaboration at Elsevier

Ethical Trade-offs in AI

Docent Sune Hannibal Holm, Associate Professor, Department of Food and Resource Economics, Section for Consumption, Bioethics and Governance, Copenhagen University

14.15 Coffee break with poster session

GPT in examination - experiment and lessons,
Julia Adlecreutz, PhD student, Automatic Control, Lund University
"This ground truth is muddy anyway": Ground truth data assemblages for medical AI development,
Charlotte Högberg, Technology and Society, Lund University
18 Billion Reasons Why: Quantificationas a Justification for Automated Welfare Surveillance,
Ellinor Blom Lussi, AI and Society, LTH, Lund University
Governing AI through transparency requirements in the EU law
Kasia Söderlund, AI and Society, LTH, Lund University
Ethical perspectives of talking about GenAI with students
Vincent Loft, Academic Development Unit, LTH; Lund University
Analysing qualitative data with GenAI tools? Better not!
Rachel Forsyth, Senior Educational Developer, Unit for Educational Services and Mirjam Glessmer, Centre for Engineering Education, Lund University
LU Innovation - innovation support at Lund University and current projects in our pipeline
Savannah Gillblad, Project Manager, LU Innovation, Lund university

14.45 Presentations

AI and the Assessment of Research Proposals: Rules and Experiences of the Swedish Research Council

Sumithra Velupillai, Senior Research Officer at the Swedish Research Council (VR)

15.15 Panel discussion

Moderator: Jimmie Kristensson, Pro Vice-Chancellor for Integrity and Character, Lunds University

Panelists

Anamaria Dutceac Segesten, Ass. Prof., Vice Dean for Research at the Joint Faculties of Humanities and Theology, Lund University
Lisa Flower, Ass. Prof., Coordinator for the Qualitative Research Methods Lab at the Lund Social Science Methods Lab, Lund University
Rachel Forsyth, Senior Educational Developer, Unit for Educational Services, Lund University
Mats Johansson, Ass. Prof., Research Integrity Officer, Lund University
Sophia Zackrisson, Prof., Consultant in Radiology Diagnostics, Lund University