Generative machine learning and machine creativity have continued to grow and attract a wider audience to machine learning. Generative models enable new types of media creation across images, music, and text - including recent advances such as StyleGAN, MuseNet and GPT-2. This one-day workshop broadly explores issues in the applications of machine learning to creativity and design. We will look at algorithms for generation and creation of new media, engaging researchers building the next generation of generative models (GANs, RL, etc). We investigate the social and cultural impact of these new models, engaging researchers from HCI/UX communities and those using machine learning to develop new creative tools. In addition to covering the technical advances, we also address the ethical concerns ranging from the use of biased datasets to the use of synthetic media such as “DeepFakes”. Finally, we’ll hear from some of the artists and musicians who are adopting machine learning including deep learning and reinforcement learning as part of their own artistic process. We aim to balance the technical issues and challenges of applying the latest generative models to creativity and design with philosophical and cultural issues that surround this area of research.
The goal of this workshop is to bring together researchers interested in advancing art and music generation to present new work, foster collaborations and build networks.
How To Participate
We invite participation in the form of papers and/or artwork.
To Submit a Paper
We invite participants to submit 2-page papers in the NIPS camera-ready format (with author names visible), to be submitted to:
In the subject line of your email, please put:
NeurIPS Workshop: [Paper title]
Topics may include (but are not limited to):
- Presentation of new machine learning techniques for generating art, music, or other creative outputs using, for instance, reinforcement learning, generative adversarial networks, novelty search and evaluation, etc
- Quantitative or qualitative evaluation of machine learning techniques for creative work and design
- Tools or techniques to improve usability or usefulness of machine learning for creative practitioners
- Descriptions, reflections, or case studies on the use of machine learning in the creation of a new art or design work
- Information-theoretic views of creativity
- Aesthetic, philosophical, social, cultural and ethical considerations surrounding the use of machine learning in creative practice
We encourage all authors to consider the ethical implications of their work. This can be discussed in a 1-paragraph section at the end of the paper and will not count towards the page limit.
In your submission, you may also indicate whether you would like to present a demo of your work during the workshop (if applicable).
Papers will be reviewed by committee members, and accepted authors will present at the workshop in the form of a short talk, panel, and/or demo. At least one author of each accepted paper must register for and attend the workshop. Accepted papers will appear on the workshop website.
References and any supplementary materials provided do not count as part of the 2-page limit. However, it will be the reviewers’ discretion to read the supplementary materials.
To Submit Artwork
We welcome submission of artwork that has been created using machine learning (autonomously or with humans). We invite art in any medium, including but not limited to sound and music, image, video, dance, text, physical objects, food, etc… We will be able to accommodate work submitted in one of the following formats:
- Audio (maximum 2 channel)
- Still image
- Other types of submissions (e.g., physical artefacts, performances, text, …) should be documented using one or more of the above formats. For instance, you might submit a video of a machine-learning-generated dance piece or a website documenting a text generation piece.
On this submission page, you will also be asked for a short text description of your work and a description of how machine learning was used in its creation.
Art submissions will be reviewed by committee members.
We will host an online gallery of accepted art submissions on the workshop website, similar to the previous galleries aiartonline.com (2018) and nips4creativity.com (2017). While we will do our best to show a number of art pieces at the workshop itself, we will most likely not have access to adequate equipment and space to support a substantial exhibit. We may invite creators of accepted artwork to participate in the form of a short talk, panel, and/or demo.
Artists submitting work are encouraged though not required to attend in person.
To be announced!
9 September 2019: Submission date for papers and art
1 October 2019: Acceptance notification for papers and art
1 December 2019: Deadline for final copy of accepted papers
8–14 December 2019: NeurIPS Conference
13 or 14 December 2019: Workshop (date to be announced)
If you have any questions, please contact us at
Workshop website: https://neurips2019creativity.github.io
Luba Elliott, AI Curator
Sander Dieleman, DeepMind
Rebecca Fiebrink, Goldsmiths University of London
Adam Roberts, Magenta, Google Brain
Jesse Engel, Magenta, Google Brain
Tom White, Victoria University of Wellington
Christine Payne, OpenAI
Parag K. Mital, HyperSurfaces, Mogees, Ltd
Nao Tokui, Keio University