This article introduces a Mechanism Transfer Protocol (MTP) evaluator, designed to assess the viability of transferring mechanisms from one domain to another. The evaluator focuses on making transfer recommendations transparent, inspectable, and testable, moving beyond simple similarity searches to analyze underlying conditions and enabling factors. It includes a Python implementation that evaluates structural, functional, causal, evidence, and contextual fit, with a non-compensatory rule where high similarity cannot override unsupported critical assumptions. The example provided illustrates the transfer of safety learning mechanisms from aviation to cybersecurity, highlighting the need to examine domain-specific institutional designs and incentives. AI
IMPACT Provides a framework for more rigorous evaluation of AI system design and cross-domain application.
RANK_REASON The article presents a novel protocol and implementation for evaluating mechanism transfer, which is a research-oriented contribution. [lever_c_demoted from research: ic=1 ai=0.7]
- Aviation Safety Action Program
- Federal Aviation Administration
- Innovation Wormhole Research Series
- Mechanism Transfer Protocol
- MTP Evaluator
- NIST SP 800-61 Rev. 3
- Python
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