Akten's work explores the ways in which machines learn and perceive the world, and how this differs from human perception. Learning to See makes the invisible processes of machine learning visible, prompting reflection on the nature of intelligence, perception, and the biases inherent in AI systems.
Born: 1975, Istanbul, Turkey
Nationality: Turkish-British
Style: AI Art, Interactive Art, Installation
Influences: Artificial intelligence, machine learning, philosophy
Major Exhibitions: "Learning to See" (2017), "Deep Meditations: A brief history of almost everything in 60 minutes" (2018), "Forms" (2019)
Quote: "I'm interested in using AI to explore the nature of perception and consciousness."
Website: https://www.memo.tv/
Learning to See is a series of interactive installations that use neural networks to "see" and interpret the world. The AI is trained on specific datasets (e.g., images of clouds, flowers, or flames) and then "projects" its understanding onto real-time video input, creating abstract and often surprising visualizations.
