Machine Learning for Creativity and Design

NeurIPS 2022 Workshop

December 9ᵗʰ, virtual

Image credit: Hannah Johnston's "Art Connects Us" (2021).


Machine co-creativity continues to grow and attract a wider audience to machine learning. Generative models, for example, have enabled new types of media creation across language, images, and music including recent advances such as IMAGEN, Flamingo, and DALL·E2. This one-day workshop will broadly explore topics in the applications of machine learning to creativity and design, which includes:

State-of-the-art algorithms for the creation of new media. Machine learning models achieving state-of-the-art in traditional media creation tasks (e.g., image, audio, or video synthesis) that are also being used by the artist community will be showcased.

Artist accessibility of machine learning models. Researchers building the next generation of machine learning models for media creation will be challenged in understanding the needs of artists. Human Computer interaction and User Experience communities and those using developing machine learning-based creative tools.

The social and cultural impact of these new models. Ethical implications, ranging from the use of biased datasets, replicating artistic work, and potential eroding trust in media content.

Artistic applications. Finally, we will hear from some of the artists who are adopting machine learning–including deep learning and reinforcement learning–as part of their own artistic process.

We will aim to balance addressing the technical issues and challenges of applying the latest Machine Learning models and techniques to creativity and design with the philosophical and cultural issues that surround this area of research.

The goal of this workshop is to bring together researchers and artists interested in exploring the intersection of human creativity and machine learning. This workshop solicits viewpoints from artists and technology developers to look beyond technical issues to better understand the needs of artists and creators.

Call for Submissions

We invite submissions in the form of papers and/or artwork. Deadline for submissions is Monday 19 Sept Extended! Monday Sept 26 (11:59pm, anywhere on earth)

To Submit a Paper

We invite participants to submit 2-page papers in the NeurIPS camera-ready format (with author names visible), to be submitted to our CMT portal.

Topics may include (but are not limited to):

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 in a single-blind process, and accepted authors can 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. Please note that we do not adhere to a formal peer review process and are normally unable to provide detailed feedback on individual submissions. We encourage submission of work that has been previously published, and work in progress on relevant topics of the workshop. This workshop will not have an official proceedings.

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 submissions in any medium, including but not limited to:

This year we are asking for submissions to consist of:

Place these in a single zip archive called

Submit this zip file through our CMT portal.

The reason for this specific submission format is simply for standardization in the review / judging process of the art submissions. Do not worry too much about this.

For accepted works, eventually some text and one (or more) images or video will be displayed in an online gallery. Please see last year’s gallery site for reference. Later on, for accepted works, we will allow another opportunity to edit and/or include links in the text description to alternate formats of the work that may be better suited for the artwork’s presentation.

In addition, during the online workshop itself we will show a number of accepted art pieces as a slideshow (which is why we ask for the landscape format). We also may invite a few select creators of accepted artwork to participate in the form of a short talk, panel, and/or demo.

Invited Speakers

Schedule (subject to change)

Some of the below sessions will occur on our Discord server and some will occur in our Zoom livestream. You will find links to access all sessions at our NeurIPS workshop website (registered participants only).

Time Event
09:15 Welcome and Introduction
09:30 Poster Session 1
All Posters; Discord
10:30 Speaker Presentation by Aaron Hertzmann; Zoom
11:00 Speaker Presentation by Alexa Steinbrück; Zoom
11:30 Speaker Presentation / Imagen; Zoom
12:00 Speaker Presentation / Stable Diffusion; Zoom
12:30 Q&A Panel Discussion 1
Aaron Hertzmann, Alexa Steinbrück, others; *Zoom + Rocketchat
13:00 Art Show
13:30 Social 1
14:00 Paper Orals; Zoom
14:30 Artwork Spotlights; Zoom
15:00 AI Performance
16:00 Poster Session 2
All Posters; Discord
17:00 Speaker Presentation by Anastasiia Raina; Zoom
17:30 Speaker Presentation by Eunsu Kang; Zoom
18:00 Speaker Presentation by Yanghua Jin; Zoom
18:30 Speaker Presentation by Kanru Hua; Zoom
19:00 Q&A Panel Discussion 2
Anastasiia Raina, Eunsu Kang, Yanghua Jin, Kanru Hua; Zoom + Rocketchat
19:30 Art Show (rebroadcast)
20:00 Closing remarks
20:15 Social 2
21:00 End


If you have any questions, please contact us at

Previous years:

How to attend

A registration ticket must be purchased on This will allow you to access our website on NeurIPS with links to the livestream, poster session and socials.


Samaneh Azadi
Lia Coleman
Yingtao Tian
Tom White