Symposium 2: The impact of generative AI on integrity in education, research, and the translation of research into policy
Tracks
MC2 Hall
| Monday, June 3, 2024 |
| 10:30 - 12:00 |
| MC2 Hall |
Details
The symposium explores the intersection of academic integrity, research integrity, and artificial intelligence (AI), examining the implications of the increased role of AI in education, research, and the translation of research into policy. The use of generative AI inclusive Large Language Models (LLMs) in scientific communication has enormous implications for trust in science and the integrity of education and research as it can potentially introduce bias, errors, and misunderstandings. However, besides these threats, generative AI, pose also opportunities to the sectors of education, research, and policy.
Speaker
Dr. Sonja Bjelobaba
Assistant Professor
Uppsala University
Brief overview of the symposium’s objectives and setting the scene
Dr. Sarah Elaine Eaton
Associate Professor
University Of Calgary
Presentation on recent developments and areas of tension in AI
Mr. D.J. Anning
Senior Ethics Expert
Elsevier
Review of current policies in publishing + policy – areas of best practice
Dr. Tomáš Foltýnek
Assistant Professor
Faculty of Informatics, Masaryk University
Deep dive into generative AI and large language models
Panel
Discussion
Panel
Audience Q & A
Chair
Sonja Bjelobaba
Assistant Professor
Uppsala University
