Machine Eye

Exploring new AI-Human Relationships

Machine Eye is intentionally ambiguous. It doesn’t tell you what it is or what it’s for. Instead, it invites people to interact with it, observe it, and decide for themselves what kind of relationship they want to have with it.

Physically, Machine Eye is a reflective, orb-like object that can see and hear its surroundings. It processes what it senses using an LLM and generates “thoughts”, which can be viewed by looking deep inside the object to read a scrolling stream of its “thoughts” and “observations”. 

Machine Eye is about how we situate ourselves in relation to AI systems, how we interpret them and how we are interpreted by them. Through interacting with it, people begin to project meanings, emotions, and roles onto the object, often changing their minds over time.

What happens when we don’t restrict the design of AI devices to defined roles and functions, and instead let relationships emerge naturally over time?



Project Members

Aileen Ng, Rowan Page, Jon McCormack, Nina Rajcic, Edward Turner, Shin See, Simeon Rubin