MITRE at Policy2Code Demo Day at BenCon 2024
The team aimed to automate applying rules efficiently by creating computable policies, recognizing the need for AI tools to convert legacy policy content into automated business rules using Decision Model Notation (DMN) for effective processing and monitoring.
Policy complexities require using machines to apply rules automatically and effectively, making computable business rules essential for the future. The team’s vision was to add a computable policy as an output. While this may not need AI for newly created policy, converting the millions of pages of legacy content at each agency will require AI tools to ensure it’s feasible. This involved two key areas of exploration: first, analyzing policy demographics to ensure quality for accurate conversion and monitoring. Second, converting policies into automated business rules using Decision Model Notation (DMN) and automated tools for efficient processing.
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