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.
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.
IBM Research AI
Hendrik is the Explainability Lead at the MIT-IBM Watson AI Lab and Research Scientist at IBM Research. His recent research is on visualization for and human collaboration with AI models to foster explainability and intuition. His work involves NLP models and generative models. He is advocating to utilize a mix of data modalities to solve real-world problems. His research is applied to tasks in machine learning, in NLP, in the biomedical domain, and in chemistry.
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 2021.
David is a PhD candidate at the Computer Science and AI Lab at Massachusetts Institute of Technology, and will be Assistant Professor at the Northeastern University Khoury School of Computer Science in 2022. David has pioneered methods for understanding and controlling the internal structure of deep networks. His work has enabled new creative applications such as semantic paint using neurons of a generative network, and direct rewriting of rules within deep generative models through user interactions.
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 2021.
Email the organizing committee at haigen2022 [at] googlegroups.com
- Maya Ackerman, Santa Clara University
- Daniel Buschek, University of Bayreuth
- Sebastian Gehrmann, Google
- Katy Gero, Columbia University
- Kaz Grace, The University of Sydney
- Anna Huang, Google
- Narendra Nath Joshi, IBM Research AI
- Ryan Louie, Northwestern University
- Michael Mateas, University of California, Santa Cruz
- Michael Muller, IBM Research AI
- Jeba Rezwana, University of North Carolina, Charlotte
- Steven Ross, IBM Research AI