CADAF presents Sofia Crespo and Anne Spalter

Artificial Seascapes. Two female AI artists respond to current uncertainty with powerful art.

CADAF (The Contemporary and Digital Art Fair) (US)

Freitag, 11. September 2020, 20:00 - 20:45
Alle Termine werden in der Mitteleuropäischen Sommerzeit (MESZ / UTC+2) angegeben.
Ars Electronica Gardens Channel

Dieser Text ist nur in englischer Sprache verfügbar.

​An one-hour live session with artists, Anne Spalter and Sofia Crespo, in discussion. We will dive into their artistic practices, their use of AI, and the relationship between data, GAN and human perception. As both of their practices tackle current issues such as COVID19 and ecological uncertainty, the artists will detail how they approach the effect of men and technology on our environment.

Anne Spalter, new media artist
Sofia Crespo, neural artist
Moderator: Andrea Steuer, CADAF Fair director and Elena Zavelev Founder and CEO of CADAF and New Art Academy


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Project Credits / Acknowledgements

Sofia Crespo (DE), Anne Spalter (US)
Curated by CADAF


Anne Spalter
Digital mixed-media artist Anne Spalter is an academic pioneer who founded the original digital fine arts programs at Brown University and The Rhode Island School of Design (RISD) in the 1990s. With a decades-long goal of integrating art and technology, Spalter has authored over a dozen academic papers and the seminal, internationally taught textbook, The Computer in the Visual Arts (Addison-Wesley, 1999). Alongside her studio practice, Spalter continues to lecture on digital art practice and theory. She is on the Digital Art Acquisitions Committee of the Whitney Museum of American Art. More at

Sofia Crespo
Sofia Crespo is an artist working with a huge interest in biology-inspired technologies. One of her main focuses is the way organic life uses artificial mechanisms to simulate itself and evolve, this implying the idea that technologies are a biased product of the organic life that created them and not a completely separated object. On the side, she is also hugely concerned with the dynamic change in the role of the artists working with machine learning techniques.