> ## Documentation Index
> Fetch the complete documentation index at: https://docs.k16solutions.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Use the AI Detection dashboard

> Filter the embedded AI Detection workbook and move from aggregate data to reviewable records.

Open **Analytics** and select **AI Detection Dashboard**. The page loads an embedded reporting workbook.

<Note>
  AI Detection reports are embedded workbooks. Their tabs, filters, and summary metrics can vary by
  workspace and report version. Follow the labels and metric descriptions in your report; the
  examples below may not all appear.
</Note>

## Read the dashboard

Depending on your workbook configuration, the dashboard can include:

* total processed submissions
* an aggregate AI-generated content percentage
* results by submission type
* students with higher reported AI percentages
* courses with higher reported AI percentages
* **Student Summary**
* **Course Summary**

<Warning>
  Ranked students or courses show where to review, not where misconduct occurred. Open the
  underlying submissions before you take action.
</Warning>

## Apply filters

The workbook can provide filters for:

* term
* submission date
* student
* course code
* AI classification

<Steps>
  <Step title="Clear inherited filters">
    Reset filters you do not need so an earlier view does not shape the result.
  </Step>

  <Step title="Set the review scope">
    Choose a term or date range, then narrow to a course or student when appropriate.
  </Step>

  <Step title="Check the population">
    Confirm that the visible totals and summary rows match the scope you intended.
  </Step>

  <Step title="Open the underlying records">
    Use **Student Summary** or **Course Summary** to move from an aggregate value to individual
    submissions.
  </Step>
</Steps>

## Save a recurring view

If your workbook displays bookmark controls, save a named bookmark after you confirm the filters. Set a default only when that view is appropriate for your routine work.

Review or delete saved bookmarks when their course, term, or purpose is no longer current.

## Missing dashboard data

<AccordionGroup>
  <Accordion title="A term does not appear">
    A term appears only when the reporting dataset contains eligible processed results for it. Clear
    other filters and confirm that relevant submissions exist.
  </Accordion>

  <Accordion title="A course or student is missing">
    Clear filters, then search within the relevant summary. Confirm that the course has processed
    submissions in the selected period.
  </Accordion>

  <Accordion title="The dashboard and course view differ">
    Check their filters and populations. Aggregate data and a course-level list can use different
    scopes.
  </Accordion>

  <Accordion title="The workbook stops loading">
    Return to the K16 page and select **Retry** when offered. A fresh visit starts a new report
    session.
  </Accordion>
</AccordionGroup>

Next, use [Course reports](/ai-detection/course-reports) to review the underlying submissions.