Konsil: An Adversarial AI Medical Case-Review Board

说明与用途

Konsil 是一个开源的对抗性多智能体医疗案例评审平台，保留分歧、验证证据并通过审核防止幻觉和遗漏。

问题

Multi‑agent systems often converge too quickly, reinforcing shared assumptions and producing overconfident answers.

结果

Konsil’s architecture prevented hallucinated author names, silent removal of disagreements, and composite quotations during blind development runs, demonstrating that a system can self‑audit its correction process.

工作流

• 1. Blind specialist agents independently review the case.
• 2. Challenger agent questions assumptions and seeks alternative explanations.
• 3. Checklist Officer verifies that all findings are addressed and evidence is cited.
• 4. Steward evaluates cost‑aware sequencing and value of additional information.
• 5. Dissent Ledger records all disagreements with reasoning and confidence.
• 6. Reviewer Gate audits citation integrity, dissent integrity, safety language, and completeness; failures trigger corrections and re‑audit.

证据

Agents can converge too quickly, reinforce shared assumptions, overlook alternative explanations, and produce an answer that sounds more confident than the available evidence justifies.

来源

After the initial assessments, a dedicated Challenger agent reviews the emerging positions. Its job is to question assumptions, explore alternative explanations, identify missing evidence, and challenge premature conclusions.

来源

The Reviewer Gate caught: Hallucinated author names in otherwise valid references. A disagreement that had been silently removed from the final minutes. A composite quotation incorrectly presented as verbatim.

来源