Dr. Rebecca Fiebrink is a Reader at the Creative Computing Institute at University of the Arts London. Her research focuses on designing new ways for people to interact with computers in creative practice, and especially on creative uses of machine learning. Fiebrink is the developer of Wekinator, open-source software for interactive machine learning that has been downloaded over 40,000 times, and she is the creator of the world’s first MOOC about machine learning for creative practitioners. Much of her work is driven by a belief in the importance of inclusion, participation, and accessibility: she works frequently with human-centred and participatory design processes, and she is currently working on projects related to creating new accessible technologies with people with disabilities, designing inclusive machine learning curricula and tools, and applying participatory design methodologies in digital humanities.
Adam Tindale is an electronic drummer and digital instrument designer. He is an Associate Professor of Human-Computer Interaction in the Digital Futures Initiative at OCAD University. Adam performs on his E-Drumset: a new electronic instrument that utilizes physical modeling and machine learning with an intuitive physical interface. He completed a Bachelor of Music at Queen's University, a Masters of Music Technology at McGill University, and an Interdisciplinary Ph.D. in Music, Computer Science and Electrical Engineering at the University of Victoria.
3 keywords: Machine learning, interaction, creative computing