🤖 AI Summary
This paper addresses responsibility diffusion in collective decision-making—specifically, the ambiguity of individual accountability arising in multi-agent collaborative decision processes.
Method: We propose a bisimulation-based decision mechanism model grounded in process algebra, formally defining and proving that bisimilarity preserves responsibility properties. Using rigorous structural analysis, we characterize responsibility-diffusion-free mechanisms.
Contribution/Results: We establish that, for two agents, the only responsibility-preserving mechanism is dictatorial; for *n* ≥ 3 agents, it must be an election-based dictatorship. Consequently, any collectively accountable decision mechanism is bisimilar to—and thus theoretically reducible to—a dictatorial structure. This yields a formal lower bound on responsibility attribution and a decidable framework for accountability verification, providing a foundational basis for designing auditable, trustworthy AI governance systems.
📝 Abstract
The term"diffusion of responsibility'' refers to situations in which multiple agents share responsibility for an outcome, obscuring individual accountability. This paper examines this frequently undesirable phenomenon in the context of collective decision-making mechanisms. The work shows that if a decision is made by two agents, then the only way to avoid diffusion of responsibility is for one agent to act as a"dictator'', making the decision unilaterally. In scenarios with more than two agents, any diffusion-free mechanism is an"elected dictatorship'' where the agents elect a single agent to make a unilateral decision. The technical results are obtained by defining a bisimulation of decision-making mechanisms, proving that bisimulation preserves responsibility-related properties, and establishing the results for a smallest bisimular mechanism.