Programme

Abstract

Human-AI teamwork used to be motivated by a sensible distribution of tasks between humans and machines that reduces human workload or augments human skills. This view is increasingly challenged by developments in generative AI, which enable the production of large volumes of output. Nowadays, it often requires more human effort to analyze and filter content than to produce it. Ironically, countermeasures involve increased reliance on AI, as demonstrated by approaches such as LLMs serving as judges. One area in which this trend is evident is academic publishing. More and more people rely on generative AI to write scientific papers, probably leading to a loss of diversity and originality by requesting the AI to produce papers that are in line with the styles of the venues to which they will be submitted. To manage the volume of papers, conferences and journals apply stricter quality criteria, particularly for survey papers that can be easily generated with AI techniques. Furthermore, AI-generated reviews are explicitly added to augment (hopefully, at least partially) human-authored reviews. There is a risk of ending up with papers that are neither written nor read by any human being. Furthermore, generative AI is employed not only for software development but also for simulating users. In HCI research, the replacement of real users raises questions regarding the user experiences that are studied and for whom. Taking this trend into account, the talk argues for a greater emphasis on HCI submissions that are presented and experienced physically, rather than merely described in a paper. Interactive installations and live demonstrations are beneficial for foregrounding bodily experiences, expressing human intent, and supporting human agency.

Bio

Elisabeth André is a full professor of Computer Science and Founding Chair of Human-Centered Artificial Intelligence (AI) at Augsburg University in Germany. She has a long track record in multimodal human-machine interaction and AI-based human behavior analysis with applications in social coaching, psychotherapy and mental health diagnosis. Her work has won many awards including the Gottfried Wilhelm Leibnitz Prize 2021 of the German Research Foundation (DFG), the most prestigious German research award. In 2017, she was elected to the CHI Academy, an honorary group of leaders in the field of Human-Computer Interaction. To honor her achievements in bringing Artificial Intelligence techniques to Human-Computer Interaction, she was awarded a EurAI fellowship (European Coordinating Committee for Artificial Intelligence) in 2013. In 2019, she was named one of the 10 most influential figures in the history of AI in Germany by National Society for Informatics (GI). Elisabeth André is a member of the Bavarian Academy of Sciences and Humanities, the Academy of Europe, the Asia-Pacific Artificial Intelligence Association, the National Academy of Science and Engineering acatech and the German Academy of Sciences Leopoldina. Furthermore, she is a fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS).