Date/time: 16 April at 13–16

Venue: IPD, Room 2419

About the workshop

In this workshop, we will discuss the ethical considerations when introducing AI tools in higher education and how to mitigate potential harms. In particular, we will use state-of-the-art AI tools as prompts to unpack the potential benefits and harms when used in the context of higher education. If you have any suggestions and preferences of tools you would like to focus on you may contact the workshop leader the latest 2 weeks before the workshop and we will try to add that tool.

Outline of the workshop:

• Introduction to AIED: Different Tools for different purposes
• Ethical guidelines out there
• Alternative approaches to AI ethics
• AI tools and assessment

The workshop will be delivered through a combination of presentations, group discussions, and case studies. The emphasis will be on encouraging participants to share their experiences and perspectives and to actively engage in critical thinking and reflection on the ethical considerations of AI in higher education.

Workshop leader is Alexandra Farazouli, PhD student at the Department of Education

Preparations and litterature   

List of interesting and relevant readings:

• Cerratto Pargman & McGrath (2021). Mapping the ethics of learning analytics in higher education: A systematic literature review of empirical research. The Journal of Learning Analytics.
• Cerratto Pargman, T., McGrath, C., Viberg, O., & Knight, S. (2023). New Vistas on Responsible Learning Analytics: A Data Feminist Perspective. Journal of Learning Analytics, 1-16.
• Cerratto Pargman, T. C., & McGrath, C. (2019). Be careful what you wish for! Learning analytics and the emergence of data-driven practices in higher education. Technology, 50(6), 2839-2854.
• Whittlestone, J., Nyrup, R., Alexandrova, A., Dihal, K., & Cave, S. (2019). Ethical and societal implications of algorithms, data, and artificial intelligence: a roadmap for research.
• Selwyn, N., Hillman, T., Bergviken Rensfeldt, A., & Perrotta, C. (2023). Making Sense of the Digital Automation of Education. Postdigital Science and Education, 5(1), 1-14.

Registration

The workshop is aimed at all teaching staff and educational managers, regardless of subject affiliation, at Stockholm University. Participation is free of charge. Book your place in good time, as places are limited. First come, first served is applied.

Register here