Recurrence prevention measure follow-up system
The recurrence prevention measures follow-up system uses generative AI to create and publish online lists of implemented measures, addressing the lack of transparency in existing systems and promoting accountability for preventing social problem recurrence.
Patent Information
- Application Number
- JP2024096304
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-06-13
- Publication Date
- 2025-12-25
AI Technical Summary
Existing systems fail to inform the public about specific measures taken by institutions or companies to prevent social problems from recurring, and there is no clear accountability or transparency regarding the implementation of such measures.
A recurrence prevention measures follow-up system that automatically creates and publishes online lists detailing the measures implemented to prevent recurrence, using generative AI to track and update the status of these measures.
Enhances public awareness of the status of prevention measures and encourages institutions to implement and publicly acknowledge their efforts to prevent social problems from recurring.
Smart Images

Figure 2025187468000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to a recurrence prevention measure follow-up system. [Background technology]
[0002] Generally, when a public institution or company causes a social problem, they often hold a press conference to issue an apology and state that they will take steps to prevent the problem from recurring.
[0003] In such cases, there is rarely any mention of what specific measures will be taken to prevent recurrence and by when. In addition, the general public cannot know whether specific measures have been implemented. [Prior art documents] [Non-patent literature]
[0004] Wikipedia (en.wikipedia.org / wiki / Wikipedia) Summary of the Invention [Problem to be solved by the invention]
[0005] Non-patent literature Wikipedia is a free multilingual Internet encyclopedia written and produced by the collaborative efforts of volunteers from around the world. However, the non-patent literature Wikipedia simply posts and publishes explanations of searched topics, and does not take into consideration follow-up measures to prevent recurrence.
[0006] The object of the present invention is to inform the general public that a public institution, company, etc. that caused a social problem has implemented measures to prevent recurrence, and to encourage the implementation of measures to prevent recurrence. [Means for solving the problem]
[0007] The recurrence prevention measures follow-up system of the present invention automatically creates a recurrence prevention measures follow-up table for each incident for which a recurrence prevention statement has been made public, and publishes these lists online. Its most important feature is that it automatically creates and publishes a recurrence prevention status list online, including a recurrence prevention measures completed follow-up table in which the recurrence prevention measures implemented for the published recurrence prevention measures follow-up table are filled in. [Effects of the Invention]
[0008] According to the present invention, the general public can understand the status of prevention of recurrence of a social problem, and can inform the general public that a public institution, company, etc. that caused a social problem has implemented measures to prevent recurrence, or can encourage the public institution, company, etc. that caused a social problem to implement measures to prevent recurrence. [Brief explanation of the drawings]
[0009] [Figure 1] 1 is a block diagram showing the flow of a recurrence prevention measure follow-up system according to one embodiment of the present invention. [Figure 2] 10 is an example of a recurrence prevention measure follow-up table in the recurrence prevention measure follow-up system according to the embodiment. [Figure 3] 10 is an example of a list of implementation status of recurrence prevention measures in the recurrence prevention measure follow-up system according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0010] Hereinafter, an embodiment will be described with reference to the drawings.
[0011] FIG. 1 is a block diagram showing a schematic configuration of a recurrence prevention measure follow-up system according to one embodiment.
[0012] In Figure 1, in step ST1, the system records public broadcasts. A regular recording device is used for recording. In step ST2, broadcasts related to recurrence prevention are extracted from the recorded records. This extraction is performed using generative AI. In step ST3, a recurrence prevention measures follow-up table (hereinafter abbreviated as SBFL) is created using generative AI for each of the recurrence prevention-related broadcasts extracted in step ST2. One example of SBFL is shown in Figure 2. In step ST4, a list of SBFLs created in step ST3 (hereinafter abbreviated as SSBFL) is created. This list is an arrangement of individual SBFLs, for example, in chronological order, and is a list of SBFLs for which the recurrence prevention column is not filled in in the recurrence prevention status list shown in Figure 3. Note that the process of creating a recurrence prevention measures follow-up table (hereinafter abbreviated as SBFL) for each recurrence prevention-related broadcast using generative AI can be performed during the online broadcast, rather than from the recorded records.
[0013] In step ST5, the list of SBFLs (hereafter referred to as SSBFLs) is published on the Internet. This list allows the general public to understand the chronological status of social problems that require prevention.
[0014] In step ST6, the person who took the countermeasure related to their own incident enters the countermeasure they took and the date of the countermeasure in the countermeasure column of SSBFL. This process is performed in the same way as shown in the non-patent document Wikipedia, and the present invention has a part that detects changes, and performs the following step ST7.
[0015] In step ST7, the recurrence prevention status list, including the recurrence prevention measures follow-up list (SSBFL) with the recurrence prevention measures filled in, is made public on the Internet. This list allows the general public to understand the status of recurrence prevention of social problems.
[0016] Figure 2 shows an example of a follow-up table for measures to prevent recurrence (SBFL). The table contains the date of publication, the medium of publication, the person responsible, and the problems that occurred. The column for writing measures to prevent recurrence is left blank. If the measures have already been implemented, you may write them here.
[0017] Figure 3 shows an example of a list of recurrence prevention status. In the list, each SBFL is added in the order in which it occurred, and for incidents for which countermeasures were implemented, the status of the countermeasures is entered.
[0018] According to the embodiment described above, the general public can understand the status of preventing the recurrence of social problems, and public institutions, companies, etc. that caused the social problems can be encouraged to implement measures to prevent recurrence.
[0019] In this embodiment, the process from creating the recurrence prevention measures follow-up list to publishing the recurrence prevention measures follow-up list (SSBFL) on the Internet after the measures have been entered is considered to be a single invention, but in other embodiments, the creation and publication of the recurrence prevention measures follow-up list, and the publication of the recurrence prevention measures follow-up list after the measures have been entered, could also be considered to be separate inventions.
[0020] The main clause of Article 29, Paragraph 1 of the Patent Act may be considered as a reason for refusal of this application. In other words, the recurrence prevention measures follow-up list is not a technical idea, and may be deemed to fall under the category of something that does not constitute an "invention," that is, something that is merely a presentation of information (something that is characterized only by the content of the information presented, and whose main purpose is to present information). [Industrial Applicability]
[0021] It is possible to easily automate situations where broadcasters must check the implementation status of recurrence prevention measures.
Claims
1. A recurrence prevention measures follow-up system comprising the steps of: recording public broadcasts on a recorder; extracting recurrence prevention related broadcasts from the recordings by a generative AI; creating a recurrence prevention measures follow-up list for each of the recurrence prevention related broadcasts extracted by the generative AI; creating a recurrence prevention measures follow-up status list by arranging the recurrence prevention measures follow-up lists created for each of the broadcasts in chronological order; and publishing the recurrence prevention measures follow-up status list via the Internet and / or public broadcasting.
2. A recurrence prevention measures follow-up system in which the recurrence prevention measures follow-up status list described in claim 1 includes a recurrence prevention measures follow-up table with completed recurrence prevention measures, in which the person who took measures related to their own incident has entered the measures they took and the date of the measures in the measures column of the recurrence prevention measures follow-up table, among the recurrence prevention measures follow-up tables for each case in the table.
3. The system enables the general public to know whether the causes of incidents that have become social problems are being investigated and whether measures to prevent recurrence are being taken appropriately, and enables follow-up. The system has a function of extracting incidents related to recurrence prevention from information distributed via the Internet or public broadcasting, and creates an article from the information, which has a section for entering information specifying the person who announced the recurrence prevention and the date of the announcement, and a blank section for entering the content of measures taken and the date on which the measures were implemented, or a section for entering the content of measures already taken and the date on which the measures were implemented, and publishes the article via the Internet and / or public broadcasting.
4. The recurrence prevention measures follow-up system according to any one of claims 1 to 4, further comprising a storage system for recording and storing the distributed content and / or the article for publication.
5. The recurrence prevention measures follow-up system according to claim 1 or claim 2, wherein the content of the article to be made public includes first data distributed via the Internet or public broadcasting and second data determined to be data describing recurrence prevention.
6. 6. The recurrence prevention measures follow-up system according to claim 1, further comprising a neural network that determines whether the first data distributed via the Internet or public broadcasting is data describing recurrence prevention.
7. 7. The recurrence prevention measures follow-up system according to claim 1, wherein all or any of the steps of: a step in which the generative AI extracts recurrence prevention related broadcasts or articles from public broadcasts and / or internet articles; a step in which the generative AI creates a recurrence prevention measures follow-up table for each of the recurrence prevention related broadcasts or articles extracted; a step in which the generative AI creates a recurrence prevention measures follow-up status list by arranging the recurrence prevention measures follow-up tables created for each of the articles in chronological order; and a step in which the recurrence prevention measures follow-up status list is made public on the internet and / or public broadcasts.