Osnat Mokryn

University of Haifa

Osnat Mokryn is the Social Cognition and Networks (SCAN) lab Director in the Information Systems Department at the University of Haifa. She researches cognitive processes in complex systems, with a recent emphasis on human-AI intelligent systems. She applies multidisciplinary methods to identify governing principles and to study highly complex systems using real-world data. Dr. Mokryn is a Senior Member of the Association of Computing Machinery (ACM), and her research is supported by the Israel Science Foundation (ISF), The Israeli Ministry of Science and Technology, and several industry partners.

Orit Shaer

Wellesley College

Orit Shaer is Professor and co-Chair of Computer Science at Wellesley College. She founded and directs the Wellesley College Human-Computer Interaction (HCI) Lab. Her research focuses on novel human-computer interaction for the future of work and learning, including human-AI collaboration, tangible and embodied interaction, and mixed-reality interfaces. Dr. Shaer is a Senior Member of the Association of Computing Machinery (ACM), and a recipient of several NSF and industry awards including the prestigious NSF CAREER Award.

Werner Geyer

IBM Research

Werner Geyer is a Principal Research Scientist, ACM Distinguished Member, and Chief Scientist Human-Centered AI at IBM Research in Cambridge, MA, where he is co-lead for the Human-Centered Trustworthy AI strategy. He has held various roles as co-chair at ACM RecSys, including general chair, tutorial chair, and workshop chair. He has been co-organizer of HAI-GEN since 2020. His recent research interests include the use of generative AI in business settings and understanding how to effectively design AI-assisted workflows to to augment peoples’ abilities.

Mary Lou Maher

University of North Carolina, Charlotte and Computing Research Association

Mary Lou Maher is a Professor and Director of the HCI Lab in the College of Computing and Informatics at UNC Charlotte. She has a joint appointment in the Department of Software and Information Systems and the School of Data Science. Her research in computational creativity extends genetic algorithms, analogical reasoning, and more recently deep learning models to automate the generation of creative designs and respond to the question: Can computers be creative? Her research in HCI has lead to a complementary focus in computational creativity to design and evaluate interaction models for co-creative systems and respond to the question: Can computational creativity enhance human creativity? Mary was a co-organizer of HAI-GEN 2021, HAI-GEN 2022, and HAI-GEN 2023.

Justin Weisz

IBM Research

Justin 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 is also a co-lead of the human-centered trustworthy AI research strategy as well as a project exploring enterprise use cases of generative AI technologies. Justin was a co-organizer of multiple HAI-GEN workshops (2021, 2022, 2023, 2024).

Daniel Buschek

University of Bayreuth, Germany

Daniel Buschek is a Professor of Mobile Intelligent User Interfaces at the University of Bayreuth, Germany. His group works at the intersection of Human-Computer Interaction and AI, exploring interaction with models for text and images to shape the future of AI tools in a human-centred way.

Lydia B. Chilton

Columbia University, New York

Lydia Chilton is an Assistant Professor in the Computer Science Department at Columbia University. She is an early pioneer in decomposing complex tasks so that crowds and computers can solve them together. Her current research is in computational design - how computation and AI can help people with design, innovation, and creative problem-solving. Applications include: conveying a message visually for journalism and advertising, developing technology for public libraries, improving risk communication during hurricanes, and helping scientists explain their work on Twitter. Lydia was a co-organizer of multiple HAI-GEN workshops (2020, 2021, 2022, 2023, 2024).