A Diagnostic Framework for AI Agent Behavior
AI agents increasingly act within the same clinical, political, scientific, and social systems that behavioral scientists study. Evaluating these systems requires source-level diagnosis: the same behavioral pattern may arise from an agent representational substrate or from the roles, objectives, interaction structures, and governance rules that shape its expression. This Perspective proposes a diagnostic framework for AI agent behavior: layer attribution. The foundational computational layer def
Record details
Published: 19 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Healthcare · Agents & autonomy
Retrieved: 21 July 2026
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ethics.ai (19 July 2026), “A Diagnostic Framework for AI Agent Behavior,” evidence record 12005, https://ethics.ai/record/12005 (originally published by arXiv).
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