Blocksi uses Artificial Intelligence (AI) to continuously monitor student safety issues. The AI Flagged Issues screen allows you to view these issues as soon as our student safety algorithm detects them.
The AI Flagged Issues feature is part of Blocksi's Standard and Premium Student Safety Account packages.
The Premium Account, offers the advantage of round-the-clock, year-round review of AI-flagged issues by our Expert Human Reviewers. These experts verify or disprove the detected data, ensuring that you receive only accurate, true positive information.
With a Standard Account, you have access to only unprocessed AI-flagged issues, and your team is responsible for verifying or disproving the issues detected.
Warning
It is important to remember that AI is not infallible in determining the risk associated within a given context, so it is crucial to carefully evaluate each issue and scrutinize its context to ascertain its severity.
Note
If you wish to upgrade your account, please contact the sales team at sales@blocksi.net.
Using the AI Flagged Issues screen, you can look for Gmail data, Images, or documents that have been scanned by AI. You can see the following:
What was scanned
Time of the scan
User who is being flagged
Category of the scan
Whether it was human reviewed
Alert history time line of event
Screen shot history of event
You can also filter the information by the following:
Time
Organizational Unit
Student Email
Categories (Cyberbullying, Mental health, Threat, Sexual Language, and Safe Language)
Source (Search Query, YT Query, Chat, Gmail, and Outlook)
Reviewed Data (Non Reviewed Data and Human Reviewed Data, which includes Confirmed Issues and Changed Issues)
Review AI flagged issues to get the most recent...
To review AI flagged issues
Click Student Safety from the Main Menu and then click AI Flagged Issues from its sub-menu. The page defaults to Gmail Data, Cyberbullying, Mental health, and Threat categories, and Non Reviewed Data.
Select a time frame, organizational unit, or student from the filters.
Select one or more categories, source, and the type of reviewed data you want to see.
Click Confirm Changes. The screen refreshes to include your filters. See example screen below.
Click the Details button to the right of the alert you want to view. The Details window opens.
Review the alert and see how it is categorized. In this instance, it is categorized as Mental health. At this point, you can make a determination as to whether it is categorized correctly. If it is not, you can change it here by clicking the appropriate category.
Click No or Yes to Indicate whether this is a duplicate alert..
When you click the appropriate button, the alert is sent to the Areas of Concern page and is removed from these results.