However good an answer artificial intelligence produces, it does not lead to a real decision unless a person can understand and trust it. This laboratory works where human-centered AI meets information visualisation, studying interactive systems that let people and AI reach better judgements together. Combining visual analytics with HCI methodology, it turns complex data into a form people can read, and explores situated analytics in which analysis happens naturally within the physical and occupational context a user is in. It is one of the most interdisciplinary areas in the College of Computing, demanding technical rigour in computer science and an understanding of people at the same time.