Automated PII Evidence Screening System
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Solution Overview
Problem
Public safety organizations face challenges in efficiently processing and storing personally identifiable information (PII) due to the time-consuming and resource-intensive nature of identifying and managing such data, which is crucial for compliance with legal and privacy regulations to avoid severe fines.
Innovation Solution
A system comprising a controller with access to a personally identifiable information rule collection database, determining incident types and evidence types to select appropriate processing modes for PII, either storing or discarding evidence based on incident type and person-of-interest scores, and generating records for storage or discarding accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual sorting and identification of PII is performed, then compliance with privacy regulations is achieved, but processing time and resource consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical sorting and identification processes with an automated electronic system that uses processors, databases, and algorithms to identify PII, determine incident types, and make storage decisions automatically, thereby maintaining compliance while dramatically reducing processing time
Solution Approach 2:
The system enables self-service by automatically processing evidence, identifying PII, determining incident types, and making storage decisions without requiring manual human intervention for each piece of evidence, thus reducing both time and resource consumption while ensuring regulatory compliance
2Reliability
If all potential evidence is stored to ensure compliance, then legal responsibilities are met, but processing overhead and storage resources increase
Solution Approach 1:
The patent applies local quality by making storage decisions specific to each piece of evidence based on its PII status and incident type, rather than uniformly storing all evidence. The system selectively stores only necessary evidence, reducing processing overhead and storage requirements while maintaining legal compliance
Solution Approach 2:
The system changes the parameter of storage decision-making from a static blanket approach to a dynamic parameter-based approach, where storage decisions are adjusted based on PII identification results and incident type classification, thereby optimizing resource usage while ensuring compliance
3Productivity
If automated processing of PII is implemented, then processing efficiency improves, but system complexity increases
Solution Approach 1:
The patent segments the automated processing system into distinct functional modules: PII identification module, incident type determination module, and storage decision module. This segmentation improves processing efficiency through specialized automated operations while managing system complexity through modular design that allows independent development and maintenance of each component
Data Source
AI summary
A device, system and method for screening of personally identifiable information is provided. An incident type of a particular incident is determined. Responsive to determining that potential evidence associated with the particular incident includes personally identifiable information, the potential evidence being of a particular evidence type including one or more of media and metadata generated by a user or a device associated with the user, a personally identifiable information processing mode is selected to process the potential evidence as a function of the incident type of the particular incident and an evidence type of the potential evidence. When selected mode is a storing mode, a record of the potential evidence is generated that included the personally identifiable information to be stored in an electronic storage device.