A Résumé of a zoom meeting of SAIOC in Stockholm on 16th June 2026.
Professor Connie Levina Yuen of Athabasca University, Canada asks her pupils to reflect on how AI is used. Where is the line between assistance, or at a higher level, where is it an opportunity? How do we balance innovation with responsibility?
Universities matter more than ever to train people in how these qualities can be generated. Teaching practices must evolve. Students may not read the relevant articles so educators must direct them to do so.
AI does not have professional responsibility and has no understanding of the broader social context, or institutional wisdom, or history. AI does not recognise the context of the decisions.
The use of Ai is not just about measuring performance but looking into the underlying thinking. Transparency is needed regarding when AI is used. It is around us all the time. How we evaluate the outputs critically determines if the output is useful, fair, and provides ethical justification for AI. It may be seen as constraining but it need not be. Reflection on human judgement is needed.
Humans should define the goal. Human judgement has to be exercised. Effort and trust in human values is needed.
- We can ask questions differently, challenging the assumptions embedded within the response, while cultivating intellectual humility and critical thinking. Humans need to provide context.
- Integrity is important. What is worth knowing? What are the fair processes? – Judgement, responsibility, empathy, and wisdom must be considered, not just what AI can do for us.