Werner Geyer

IBM Research AI

Werner is a Principal Research Staff Member and Research Manager at IBM Research in Cambridge, MA, where he is leading a research team centered around AI Interaction technologies. He's been holding various roles as co-chair at ACM RecSys, including general chair as well as a series of workshops and tutorials on Social Recommender Systems. More recently, his team is exploring generative modelling techniques in business settings. Werner was a co-organizer of HAI-GEN 2020, HAI-GEN 2021, HAI-GEN 2022, and HAI-GEN 2023.

Mary Lou Maher

University of North Carolina, Charlotte

Mary 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 D. Weisz

IBM Research AI

Justin 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 lead of the human-centered AI research strategy as well as a project exploring enterprise use cases of generative AI technologies. Justin was a co-organizer of HAI-GEN 2021, HAI-GEN 2022, and HAI-GEN 2023.

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 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 HAI-GEN 2020, HAI-GEN 2021, HAI-GEN 2022, and HAI-GEN 2023.