This panel aims to create a unique idea space at the intersection of Art, Artificial Intelligence, technology and human perception. Artists, scientists and AI experts bring their own experience and approaches to the table, and probe Art’s dimensions across different media, contexts, and depths.

Katherine.png

katherine ye

Katherine Ye is a PhD candidate in computer science magic at Carnegie Mellon University. Her work explores themes around designing representations, creative interfaces, and the interface between language and image. She has given talks at Y Conf, Strange Loop, and !!con, and has worked at Google Brain and MIT.

Pasted image at 2017_11_08 02_43 PM.png

Sarah Schwettmann

Sarah Schwettmann is a computational neuroscientist interested in creativity underlying the human relationship to world: from the brain’s fundamentally constructive role in sensory perception to the explicit creation of experiential worlds in art. She conducts research on Intuitive Physics in MIT’s Department of Brain and Cognitive Sciences, where she is working toward her PhD as an NSF Graduate Research Fellow. Previously, Sarah was a member of the Eagleman Laboratory for Perception and Action at Baylor College of Medicine and the Shouval Lab for Theoretical Neuroscience at UT Health Science Center Houston. In the arts, Sarah uses her background in computation to create installations that explore structure in human cognition and the nature of intelligence. Her work has been exhibited at FiftyThree in New York and at OPEN Gallery in Boston. Sarah received BAs in Computational and Applied Mathematics and Cognitive Science from Rice University, where she was a Trustee Distinguished Scholar, Century Scholar, and taught courses on Engineering Computation and Women Leaders in STEM. (@cogconfluence)

Lucy-Siyao-Liu-Headshot-440x440.jpeg

Lucy Siyao (moderator)

Lucy Siyao Liu is a designer working on evolving representation techniques for cultural production. Her work addresses contestations and disjunctions that occur in imaging technologies, with an emphasis on exploring systems of nature through experimental drawings and animations. She is the creator and co-editor of PROPS PAPER, a weekly paper on images. Her most recent project, A Curriculum on the Fabrication of Clouds, is a collection of drawing experiments framed as pedagogical acts to examine drawing as a mode of scientific and artistic inquiry in cloud studies. 

Suzanne_Dikker.jpeg

Suzanne Dikker

Suzanne Dikker's work merges cognitive neuroscience, education, and performance art in an effort to understand the brain basis of human social interaction. Together with media artist Matthias Oostrik and other collaborators, she uses portable EEG in a series of 'crowd-sourcing' neuroscience experiments / interactive brain installations that investigate the role of brainwave synchronization between two or more people in successful communication. Suzanne is a senior research scientist at New York University and Utrecht University, and curator of the Annual Watermill Art & Science: Insights into Consciousness Workshop.

Agnieszka-Kurant_credit-Janek-Zamoyski_web-300x240.jpg

Agnieszka kurant

Conceptual interdisciplinary artist, Agnieszka Kurant explores how complex social, economic and cultural systems can operate in ways that confuse distinctions between fiction and reality or nature and culture. She investigates “the economy of the invisible,” in which immaterial and imaginary entities, fictions, phantoms and emergent processes influence political and economic systems. As the Ida Ely Rubin Artist in Residence at CAST, Kurant collaborates with Boris Katz, Principal Research Scientist at MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) and head of the InfoLab Group, to analyze how collective intelligence and emergence—in nature and culture—could be applied to creativity and art production. 

pmawhorter.jpg

Peter Mawhorter

Peter is a post-doctoral researcher at MIT interested in artificial intelligence, computational creativity, and interactive narrative. His work as a computer scientist includes AI systems that interface with aesthetics from both the symbolic and statistical traditions, such as a logic program for generating narrative choices, or a deep convolutional neural network for assessing avatar creativity.