Rebecca Fiebrink

Machine Learning in Art Specialist, Reader at the Creative Computing Institute

Fire Chat: The Ethics and Diversity of Creativity in AI and Robotics with Rebecca Fiebrink & David Hanson, moderated by Sophia the Robot

What does the future of creative practice look like? How can machine learning change the type of creative work that people can make? How can using machine learning help creative experts engaging in creative work? Can we creatively democratize AI, and make the field inclusive of all people and disciplines? And finally how can we stem the dangers that unethical creativity may present? Rebecca Fiebrink and David Hanson will discuss whether designing AI can increase abundance and solve problems, and finding our way peaceably past all the struggles and hardship, to a sustainable future of creativity. It will be two opposite perspectives at integrative platforms that facilitate human creativity, combining the best perception, dialogue, and social robotics tools that we can develop.


Dr Rebecca Fiebrink makes new accessible and creative technologies. As a Reader at the Creative Computing Institute at University of the Arts London, her teaching and research focus largely on how machine learning and artificial intelligence can change human creative practices. Fiebrink is the developer of the Wekinator creative machine learning software, which is used around the world by musicians, artists, game designers, and educators. She is the creator of the world’s first online class about machine learning for music and art. 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, and designing inclusive machine learning curricula and tools. Dr. Fiebrink previously taught at Goldsmiths University of London and Princeton University, and she has worked with companies including Microsoft, Smule, and Imagine Research. She holds a PhD in Computer Science from Princeton University..