Interaction-Centered Intelligence: Toward Interaction as the Primary Unit of Analysis in Co-Creative AI and Human-AI Systems
A new research paper proposes a shift in how artificial intelligence is understood, moving away from viewing intelligence as solely internal computation to focusing on interaction as the primary unit of analysis. This framework, termed Interaction-Centered Intelligence, suggests that intelligence, creativity, and adaptive behavior emerge from the dynamics between agents, environments, and socio-technical systems. The paper advocates for evaluating AI systems based on their interaction trajectories and participatory engagement rather than just their output performance. AI
IMPACT Proposes a new lens for AI research, potentially influencing future AI system design and evaluation methods.