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Workshop
Machine Learning for Creativity and Design 4.0
Luba Elliott · Sander Dieleman · Adam Roberts · Tom White · Daphne Ippolito · Holly Grimm · Mattie Tesfaldet · Samaneh Azadi

Sat Dec 12 05:15 AM -- 03:00 PM (PST) @ None
Event URL: https://neurips2020creativity.github.io/ »

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 StyleGAN2, Jukebox and GPT-3. 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 replicating artistic work. 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.

Author Information

Luba Elliott (elluba.com)

Luba Elliott is a curator, artist and researcher specialising in artificial intelligence in the creative industries. She is currently working to educate and engage the broader public about the latest developments in creative AI through monthly meetups, talks and tech demonstrations. As curator, she organised workshops and exhibitions on art and AI for The Photographers’ Gallery, the Leverhulme Centre for the Future of Intelligence and Google. Prior to that, she worked in start-ups, including the art collector database Larry’s List. She obtained her undergraduate degree in Modern Languages at the University of Cambridge and has a certificate in Design Thinking from the Hasso-Plattner-Institute D-school in Potsdam.

Sander Dieleman (DeepMind)
Adam Roberts (Google Brain)
Tom White (Victoria University of Wellington School of Design)

Tom is a New Zealand based artist investigating machine perception. His current work focuses on creating physical artworks that highlight how machines “see” and thus how they think, suggesting that these systems are capable of abstraction and conceptual thinking. He has exhibited computer based artwork internationally over the past 25 years with themes of artificial intelligence, interactivity, and computational creativity. He is currently a lecturer and researcher at University of Wellington School of Design where he teaches students the creative potential of computer programming and artificial intelligence.

Daphne Ippolito (University of Pennsylvania / Google)

I am a PhD student at the University of Pennsylvania working in natural language processing. I am co-advised by Chris Callison-Burch at UPenn and Doug Eck at Google.

Holly Grimm (Sustia LLC)

Diné (Navajo) artist and machine learning engineer with interests in generative art and natural language processing for Indigenous languages. OpenAI Scholar. Creative Technologist at Google Artists + Machine Intelligence.

Mattie Tesfaldet (McGill University & Mila)

Mattie Tesfaldet (they/them) is a computer vision and machine learning researcher, artist, and DJ based in Montréal, Canada. They are pursuing their PhD at McGill University and Mila researching generative models for visual content creation, specifically, looking for novel and interesting ways images and videos can be represented with neural networks. Outside of academia, they like to apply their research with the aim of exploring the intersection of human creativity and artificial intelligence. Particularly, developing new AI-based mediums for communication, expression, and sharing of visual imagery. You can find them on twitter and instagram @mattierialgirl.

Samaneh Azadi (UC Berkeley)

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