University of Milano-Bicocca, IRCCS Galeazzi Sant'Ambrogio Hospital, Milan, Italy
Attendees will adopt a new methodological framework, metrics and tools to critically assess AI systems' role in supporting human decisions, especially in sensitive domains.
The tutorial will explore the nuances of the "task-artifact cycle" and its relevance to the co-evolution of humans and technology in decision-making processes. It will include discussions on cognitive and socio-psychological influences on human-AI interaction, especially in trust calibration and error management, informed by case studies and empirical findings.
Researchers, practitioners, and policymakers interested in human-AI interaction, the design of related collaboration protocols and their evaluation, taking into consideration both the AI's capabilities and limitations within hybrid decision-making, also along the ethical AI dimension.
Attendees are encouraged to review materials from previous tutorials as well as a paper presented at CHI'23, available on the following website: MUDILab AI-Reliance Tutorial. Participants are encouraged to bring/use their own computers, although this is not strictly required.
Federico Cabitza is a renowned scholar in human-computer interaction and artificial intelligence, ranked in the top 2% of the Stanford list of top scientists. His research includes collaboration with hospitals and editorial contributions, positioning him as an expert in AI and decision support systems in medicine. He co-authored a book with Prof. Luciano Floridi on AI's societal impact. Relevant links include: the web site of which Cabitza is head, the MUDILab, his Google Scholar profile, his personal Web site, and his Social profiles (on Twitter/X and Linkedin)