Artificial intelligence

Exploring the impact of working with systems that are adaptive, learning, or produce output that is difficult to predict, as traditional interaction design paradigms are challenged.

A Mini Online Lecture Series on Human-AI Interaction Header slide for the flexible human-ai interaction course at the Interdisciplinary College 2022. I was very happy to be asked to deliver a mini-online lecture series on “flexible” (the focus topic of the year for IK 2022) human-ai interaction. The course highlighted a range of selected topics from the CSC8611 module “Human-Artificial Intelligence (AI) Interaction & Futures” as it was delivered at Newcastle University - together with Yu Guan as a Co-Lecturer - in 2021 (as part of the new MSc in HCI programme), which in turn built on many underlying resources and related works (with the HAII@CMU module by Haiyi Zhu and Steven Wu; formerly by Chinmay Kulkarni and Beth Kery being a key component).

The module, CSC8611 Human-Artificial Intelligence (AI) Interaction & Futures, offered at Newcastle University, delved into the critical intersection of human experience and artificial intelligence. Designed by Jan Smeddinck and co-taught with Yu Guan, the course challenged traditional AI/ML curricula by emphasizing human impact and user interfaces, rather than solely focusing on algorithms. A significant portion of the module explored the historical context of AI, tracing its evolution from early concepts like automata and cybernetics through various “AI springs” and “winters.