I’ve written a book chapter on GANs, surrealism, and computational tools for imagination for Welcome a New Neighbor, Creative Machine ed. Eunsu Kang, forthcoming 2021.

You can read the essay—”Communion and Cohabitation”—here: (pdf download)

Joel Ong, Eunsu Kang and I presented an an intervention for Politics of the Machines 2021 in Berlin. With three human and non-human pairs—Joel with his Euglena Gracilis (Emotional Sentiment/Light,Text), Eunsu with her Violet (Viola/Speech), and me with my text and image agent (GPT3 and CLIP/BigGAN/CMA-ES)—we discussed the machinic sublime in a performative roundtable.

I look forward to further development of these projects and ideas with the group.

From the POM website:

I chaired a a workshop on Measurable Creative AI as part of SIGGRAPH Frontiers, including moderating a live Q&A during the conference. We have an amazing lineup of presenters:

• Kenric Allado-McDowell – K Allado-McDowell is a writer, speaker, and musician. They are the author, with GPT-3, of the book Pharmako-AI, and are co-editor, with Ben Vickers, of The Atlas of Anomalous AI. They record and release music under the name Qenric. Allado-McDowell established the Artists + Machine Intelligence program at Google AI. They are a conference speaker, educator and consultant to think-tanks and institutions seeking to align their work with deeper traditions of human understanding.
• Stephanie Dinkins – Stephanie Dinkins is a transmedia artist who creates platforms for dialog about race, gender, aging, and our future histories. Dinkins’ art practice employs emerging technologies, documentary practices, and social collaboration toward equity and community sovereignty. She is particularly driven to work with communities of color to co-create more equitable, values grounded social and technological ecosystems. Dinkins is a professor at Stony Brook University where she holds the Kusama Endowed Professor in Art.
• Ethan Edwards – Ethan Edwards is a researcher in Experiments in Art and Technology (E.A.T.) at Nokia Bell Labs, an initiative which fuses art with engineering to humanize technology. He works directly with scientists and artists to help facilitate collaboration and builds technology which crosses these domains. He is a creative technologist, having graduated with an MFA in Sound Art from Columbia University and has had work featured in museums, galleries, and performances around the world. His independent artwork explores traditional aesthetic themes in radically new media contexts. He has designed and led numerous large scale exhibits at Nokia Bell Labs.
• Eunsu Kang – Eunsu Kang is an artist, a researcher, and an educator who explores the intersection of art and machine learning, one of the core methods for building AI. She has been making interactive art installations and performances, teaching art-making using machine learning methods, and recently looking into the possibility of creative AI. She is also a co-founder of Women Art AI collective.
• Sang Leigh – Sang Leigh is an Assistant Professor of the School of Industrial Design at Georgia Institute of Technology. His research focuses on augmenting humans and their creativity, through forming a symbiotic and tactile relationship between humans and computers. His Machine Poetics research group investigates novel user interfaces, interactive programming, and human-robot interaction for enhancing our creative processes and learning

Pre-Recorded Panel – available On Demand, August 1 to registered SIGGRAPH attendees.

Live Discussion – Wednesday, August 11. 9am – 10am PDT/ noon-1pm EDT. https://s2021.siggraph.org/presentation/?id=fwkp_105&sess=sess243

Post-Conference – We will publish all materials on our mCreativeAI website after the event: mcreativeai.org.

I am co-organizing a workshop on Computational Measurements of Machine Creativity (CMMC) for CVPR21.

Bridging the Gap between Subjective and Computational Measurements of Machine Creativity

While the methods for producing machine creativity have significantly improved, the discussion on a scientific consensus on measuring the creative abilities of machines has only begun. As Artificial Intelligence becomes capable of solving more abstract and advanced problems (e.g., image synthesis, cross-modal translations), how do we measure the creative performance of a machine? In the world of visual art, subjective evaluations of creativity have been discussed at length. In the CVPR community, by comparison, evaluating a creative method has not been as systematized. Our goal in this workshop is to discuss current methods for measuring creativity both from experts in creative artificial intelligence as well as artists. We do not wish to narrow the gap between how humans evaluate creativity and how machines do, instead we wish to understand the differences and create links between the two such that our machine creativity methods improve.

June 20, 2021, 11:00am – 2:30pm EDT | http://cmmc-cvpr21.com/