Automated Complaint Hotline Processing With Privacy-Preserving Analytics
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Solution Overview
Problem
Current complaint processing systems in organizations, particularly in learning institutions and companies, lack independence, objectivity, and effective mechanisms for handling anonymous complaints, leading to suppression of issues, potential legal risks, and failure to address harassment and bullying effectively.
Innovation Solution
An automated, software-driven system that processes complaints anonymously, provides unique coding for entity identification, performs reliability verification, removes personal information, and generates reports to relevant authorities, ensuring fairness and protection of complainants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated complaint processing system is implemented, then objectivity and reliability of complaint handling is improved, but system complexity and cost increase
Solution Approach 1:
An independent third-party automated system acts as an intermediary between complainants and organizations, receiving, processing, and analyzing complaints without direct organizational involvement. This intermediary system uses AI and natural language processing to objectively evaluate complaints, removing bias while managing complexity through specialized software rather than human personnel.
Solution Approach 2:
The patent replaces manual complaint processing mechanisms (human personnel collecting and analyzing complaints) with automated computational systems. AI algorithms, natural language processing, and computerized analytics substitute for human judgment, providing consistent and objective complaint evaluation while reducing the need for dedicated human resources.
2Object-affected harmful factors
If anonymous complaint processing is enabled, then complainant safety and honesty are improved, but verification and reliability become more difficult
Solution Approach 1:
The automated system implements feedback mechanisms where AI algorithms continuously learn from complaint patterns, verification outcomes, and investigation results. The system adjusts its verification processes based on feedback from multiple sources including cross-referencing with other complaints, analyzing complaint consistency, and receiving input from investigative agencies, thereby maintaining reliability while preserving anonymity.
Solution Approach 2:
The system performs multiple functions simultaneously: it processes anonymous complaints, verifies their authenticity through cross-referencing and pattern analysis, maintains complainant anonymity, and provides actionable insights to organizations. This multi-functional approach allows the system to handle verification challenges inherent in anonymous reporting without compromising complainant protection.
3Measurement precision
If comprehensive data collection is performed, then analytics quality and problem identification are improved, but privacy protection becomes more challenging
Solution Approach 1:
The system segments data into distinct categories: identifiable personal information is separated from anonymized complaint content. AI processes comprehensive data including text, audio, and metadata, but automatically redacts and protects personally identifiable information. This segmentation allows high-quality analytics from comprehensive data while maintaining privacy through systematic data separation and protection protocols.
Data Source
AI summary
Automated system and method for processing online idea submissions (with crowdsourcing and anonymity functions), formal complaints and anonymous complaints. The system receives and processes registration information, creates a unique coding entry, and generates an associated keyword database. When the system receives input data from a user, it utilizes the unique coding identifier to relate to the organization, searches the keyword database in any communications involving the registered entity, automatically analyzes the received data, and preforms a zone of reliability verification analysis on the received data. The system also removes private personal information (PPI) for anonymous users, and “locks” and/or encrypts the version with PPI, preventing unauthorized access, and unseals the dataset with PPI information only after receipt of an unsealing order from a court or a governmental entity. The system also automatically generates and transmits reports to governmental entities and others based on the analysis of the reported complaints and legal requirements and guidelines. The system also calculates and utilizes a rating score as part of the engagement process with the registered entity, performs analysis and reporting of the overall industry, and connects the entity with the experts in the area of concern based on the analysis.