FORMA

FORMA explores how artificial intelligence might evolve through continuous human interaction rather than static training data. Instead of treating AI as a fixed tool, the project frames it as a dynamic system that learns, adapts, and develops through ongoing exchange with its users. FORMA positions AI as both a mirror and a lens, reflecting human behavior while shaping how we understand and engage with intelligent systems.

The core research question asks how an AI system can evolve through real-time interaction, with human input directly shaping its learning process, values, and behavior. By prioritizing continuous participation over predefined datasets, FORMA investigates how AI can remain adaptive, contextual, and ethically responsive to those who interact with it.

The first iteration focused on real-time learning through collective user input. Interactions were translated into evolving data structures that visualized the AI’s growth. While this demonstrated the potential of shared learning, it also revealed limitations in scalabilityand sustained engagement within a single collective model.

Summer Exhibition 2024 - First Iteration of FORMA

In response, the second iteration introduced personalized digital companions. Each user interacted with an individual instance that evolved through their behavior while remaining connected to a shared system. This approach enabled deeper engagement, greater scalability, and a richer diversity of learning patterns. The shift marked a move from a singular intelligence toward a network of interconnected, evolving agents.

FORMA ultimately serves as an exploration of how AI might grow alongside humans rather than apart from them. It examines the creative and ethical implications of co-evolving systems and highlights the importance of responsibility, transparency, and reflection in the design of adaptive technologies.

Winter Exhibition 2024/25