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.
RANK_REASON The cluster contains an academic paper proposing a new theoretical framework for AI. [lever_c_demoted from research: ic=1 ai=1.0]
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