The increasing use and capabilities of the large language model ChatGPT-3.5 (and its successors/imitators) are indicative of the potential of using artificial intelligence (AI) for knowledge-work tasks such as web searching and generating various types of creative literature. This makes it a useful tool for project teams working on collaborative tasks. It also raises the question of whether ChatGPT-3.5 can be more than a tool – could human team members collaborate with it in a similar way to how they collaborate with each other, and what might this collaboration look like? The answers to these questions open up many others about where the boundary line will be drawn between human and AI participants in collaborative projects, perhaps even to the point where the AI member ends up running the team and the project.

As practitioners, we need to not only be thinking about the answers to questions like these, but also having the experiences ourselves so we can effectively guide learners into the age of the hybrid collaborative project team.

This interactive session will explore these questions and give participants space to learn more about the research project in which a chatbot was a collaboration partner.

Facilitator

Rob Nelson sits in a field of lavender, holding his photo camera

Robert Nelson is a Doctor of Professional Practice ākonga in the College of Work Based Learning, Otago Polytechnic Te Pūkenga. He is currently completing development of a collaborative holistically integrated projects team-based learning model. His research interests are in collaborative project work and collaborative assessment practice.

In his first career, he qualified as a sheet-fed printer, before moving into management, and eventually teaching management. Developing management learners is one of the most satisfying things he has ever done.

Feature image by Christina @ wocintechchat.com on Unsplash of three women looking onto a laptop screen.