Co-Creative Artificial Intelligence is an interdisciplinary field of AI that brings together HCI, AI, Machine Learning, Computational Creativity, Creativity Research, Collaboration Research, and Cognitive Science to enable the design, implementation, and evaluation of computationally creative systems that collaborate with users on shared creative products. This field bridges the academic domains of creativity support tools (CST) that accelerate the user's existing creativity and computational creativity systems that generate new creative products autonomously or facilitate human creativity. The resulting systems are either a nanny, pen-pal, coach or computer colleague that act as partners in a co-creative workflow (Lubart, 2005).
Kantosalo & Toivonen (2014) offer a formal definition of co-creation as: "collaborative creativity where both the human and the computer take creative responsibility for the generation of a creative artefact. The term co-creation refers here to a social creativity process ”leading to the emergence and sharing of creative activities and meaning in a socio-technical environment” (Fischer et al. 2005), but with the emphasis that the computer is, instead of only providing the socio-technical environment, also an active participant in the creative activities." (Kantosalo & Toivonen, 2014) See the introduction to co-creative AI to learn more.
Co-Creative AI is an open and collaborative online repository of research in the field of co-creative AI. This website collects and presents some preliminary co-creative AI research from the field. This site includes publications, co-creative AI examples, co-creative computational approaches and techniques, and evaluation methods and techniques from publicly available texts from leading authors in the co-creative AI research field. The publications and projects remain the property of the authors. These research compilations are completely open to collaboration and input from the broader academic community. The current site is an early draft, and more collaborators are welcome to contribute ideas and suggestions that can be added or removed to the site by emailing Nicholas Davis at: ndavis35@gatech.edu.