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113-year Practical Issue: Using Generative Artificial Intelligence to Establish Case Tables and Summaries

Industry: AI Application Services

Industry Pain Points:

  • When dealing with cases, comparing recordings from different subjects to find contradictions or discrepancies is a time-consuming and complex process. Especially in large-scale cases, the number of recordings is vast, making it difficult to inspect each record's detail. Manually contrasting recordings not only takes a lot of time but is also prone to human errors, affecting case progress and accuracy.
  • The varied interrogation styles of each investigator result in diverse responses in the recordings, making the aggregation and comparison of the same questions more complex and time-consuming. Moreover, manually compiling these recordings involves handling a vast amount of data, making it difficult for investigators to quickly grasp crucial information, impacting the case's progress.
  • After the recordings are completed, manually inputting key information into other documents is not only tedious but also prone to mistakes and omissions. Particularly in large-scale cases involving numerous recordings and documents, such repetitive work not only increases time costs but also potentially leads to data errors, affecting the final case report and decision accuracy.

AI Benefits Introduction:

  • The system has automated capabilities to quickly identify inconsistencies and omissions across multiple recordings, an achievement difficult with manual comparisons. This technology allows investigators to save significant time not spent on detail examination, as precise comparison results are instantly provided by the system, quickly highlighting critical information within the case. Compared to conventional methods, artificial intelligence not only enhances accuracy but also drastically reduces the time for comparisons and processing, thus accelerating the case investigation process.
  • The system additionally can automatically organize multiple recordings and integrate them into concise case summaries, thereby avoiding repetition and omissions typical in manual processes. This feature not only speeds up the integration of case information but also assists investigators in quickly comprehending the full scope of the case, eliminating the need for manual data filtering. Because the system extracts key information and autonomously generates summaries, investigators can direct their energies towards higher-value analytical tasks, thereby enhancing the overall case handling efficiency. Moreover, the system's automated reporting capabilities can produce investigation reports, relationship charts, and timelines, offering a more detailed and complete analysis of the case, ensuring that every step in the investigative procedure is efficient and precise.

Common AI Technologies:

  • Generative artificial learning techniques such as:OpenAIand others.GPTAnthropicandClaudeothers.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-12-02」