Evaluate possibility of implementation of an AI-based Automated Report Evaluation and Classification

[evilaliv3]

Proposal

This ticket is to evaluate the possibility to implement an AI-based classification system that analyzes whistleblower reports and assigns them a priority score based on predefined criteria. The system should run entirely on local infrastructure, ensuring compliance with privacy regulations.

It would be in fact interesting to explore implementation of the following automated evaluation criteria:

• Spam Detection: Flagging irrelevant or malicious submissions.
• Credibility Assessment: Evaluating textual coherence, factual consistency, and linguistic patterns.
• Relevance Filtering: Identifying whether the report pertains to the organization’s investigative scope.
• Priority Assessment: Assigning priority based on the severity and urgency of the issue.

This ticket is subject to prior evaluation of the privacy concerns expressed in ticket #4441 and the evaluation of the possibility of implementing a local AI model