Symposium 2: The impact of generative AI on integrity in education, research, and the translation of research into policy

Tracks
Banqueting Hall
Monday, June 3, 2024
10:30 - 12:02
Banqueting 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

Slides

Mr. D.J. Anning
Senior Ethics Expert
Elsevier

Review of current policies in publishing + policy – areas of best practice

Agenda Item Image
Dr. Tomáš Foltýnek
Assistant Professor
Faculty of Informatics, Masaryk University

Deep dive into generative AI and large language models

Slides

Panel

Discussion

Panel

Audience Q & A

Chair

Sonja Bjelobaba
Assistant Professor
Uppsala University

Technical Support

John Smith

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