Upol Ehsan

is a doctoral candidate in the School of Interactive Computing at Georgia Tech. Existing at the intersection of AI and HCI, his work focuses on explainability of AI systems, especially for non-AI experts, and emerging AI Ethics Issues in the Global South. He is also an affiliate at the Data & Society Research Institute. His work received multiple awards at ACM CHI and HCII. His work has pioneered the notion of Rationale Generation in XAI and also charted the vision for Human-centred XAI. Along with serving in multiple program committees in HCI and AI conferences (e.g., DIS, IUI, NeurIPS), he was the lead organiser for the first CHI workshop on Human-centred XAI.

Gonzalo Ramos

is a Principal Researcher at Microsoft working on Interactive Machine Learning and Teaching, and Human-Centered Machine Learning. He is part of the HUE group at Research at Redmond, where he looks at ways to give people rich agency in the ways they participate in human-AI collaboration systems.

Elizabeth Anne Watkins

is a Research Scientist in the Social Science of AI at Intel Labs Intelligent Systems Research, where she serves on the Responsible AI Advisory Council. She was a Postdoctoral Fellow at Princeton University, with dual appointments at the Center for Information Technology Policy and the Human-Computer Interaction group, and was also an affiliate with the AI on the Ground group at the Data and Society Research Institute. She has published or presented her research at CSCW, FAccT, USENIX, and AIES, co-organized three workshops at CHI including the 2022 HCXAI workshop, and currently serves on the CHI subcommittee for Critical and Sustainable Computing.

Mark Riedl

is an Associate Professor in Georgia Tech’s College of Computing and Associate Director of the Machine Learning Center at Georgia Tech. His research focuses on making agents better at understanding humans and communicating with humans. His research includes commonsense reasoning, story telling and understanding, explainable AI, and safe AI systems. He is a recipient of an NSF CAREER Award and a DARPA Young Faculty Award.

Andreas Riener

is professor for Human-Machine Interaction and Virtual Reality at Technische Hochschule Ingolstadt (THI) with co-appointment at the CARISSMA Institute of Automated Driving. He is program manger for User Experience Design and leads the UX/usability research and driving simulator labs. In 2017, he founded the interdisciplinary Human-Computer Interaction Group. His research interests include HF/ergonomics, adaptive UIs, driver state assessment, and trust/acceptance/ethics in automated driving. Andreas is steering committee co-chair of ACM AutomotiveUI and chair of the German ACM SIGCHI chapter.

Carina Manger

is a researcher at the research center CARISSMA/THI. Before she joined the Human-Computer Interaction Group, she obtained degrees in Psychology and Human Factors Engineering and worked on intelligent user interfaces in the automotive industry. Her current research concerns experimental user studies in simulated
environments, with a strong focus on AI Explanations in automated driving. Her research approach aims to identify the underlying mental model of the user and is driven by theories from cognitive science and psychology.

Hal Daumé III

is a Perotto Professor in Computer Science and Language Science at the University of Maryland, College Park; he has a joint appointment as a Senior Principal Researcher at Microsoft Research, New York City. His primary research interest is in developing new learning algorithms for prototypical problems that arise in the context of natural language processing and artificial intelligence, with a focus on interactive learning and understanding and minimizing social harms that can be caused or exacerbated by computational systems. He has been program co-chair
for ICML 2020 and for NAACL 2013. He was an inaugural diversity and inclusion co-chair at NeurIPS 2018.

Justin D. Weisz

is a Research Manager at IBM Research in Yorktown Heights, NY. He leads the Human-AI Collaboration team, whose mission is to design, build, and rigorously investigate new forms of human-AI partnerships that enhance and extend human capabilities. He was a co-organizer of the Human-AI Co-Creation with Generative Models (HAI-GEN) workshops at IUI in 2021 \& 2022 and is the PI of a project that explores enterprise use cases of generative AI technologies and explainability needs for generative models.

Philipp Wintersberger

is a Professor of Interactive Systems at the University of Applied Sciences Upper Austria (Hagenberg). He obtained his doctorate in Engineering Science from Johannes Kepler University Linz, specializing in Human-Machine Cooperation. His publications, which focus on trust in automation, attentive user interfaces, transparency of driving algorithms, as well

as UX and acceptance of automated vehicles, have received several awards in the past years. He has co-organized multiple workshops at CHI and related conferences and is a member of the ACM AutomotiveUI steering committee and the IEEE Trust and Agency committee.