Sofian Audry, an assistant professor of new media at the University of Maine, delivered a thought-provoking presentation on the intersection of art and technology. With a robust background in computer science, Sofian explored the philosophical and practical aspects of machine learning and artificial intelligence within the realm of contemporary art. They delved into how these technologies could be leveraged to question and expand our understanding of human nature and autonomy.
Sofian’s work primarily focuses on subverting traditional applications of AI and computer science to uncover insights about human imperfections and societal constructs. They described various projects where machine learning was not just a tool but a medium for artistic expression, revealing the intrinsic behaviors and unintended consequences embedded in these technologies. One highlight was a robot programmed with reinforcement learning, tasked with navigating the dilemma of sun exposure necessary for charging its solar panels while inherently avoiding light.
Throughout the talk, Sofian emphasized the concept of ‘agents’—entities acting in the world in response to observations—and how their behaviors can be perceived and interpreted differently, depending on the viewer’s engagement and the context provided by the artist. This approach invites viewers to reflect on the deeper implications of technology as a mirror to humanity. By interlacing AI with artistic creativity, Sofian advocates for a nuanced exploration of how these tools can both emulate and enhance human experiences, highlighting the blurred lines between creator and creation in the digital age.
