Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
DC Asbestos demolition notifications
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
Supporting AI tool for assessing asbestos demolition notifications. Is the application complete and does it contain all legally required data? The tool uses an LLM and the assessment framework from the Building Works Decree on the living environment. The final judgement on whether a notification is Approved or Rejected is up to the handler.
Considerations
The tool saves time in assessing discharge notifications and makes the work for the handler more enjoyable and easier. A drawback can be overconfidence in the result. Therefore, the tool is only available to trained users with sufficient content to assess the result.
Human intervention
The final judgement on whether a report is approved or rejected is up to a human being (the handler).
Risk management
Risks are:
* Interpretability
* Legal correctness
Mitigating measures:
The tool becomes available only to trained users who are sufficiently versed in the content to be able to assess the result.
Legal basis
Environment Act, Built Environment Decree (Bbl)
Links to legal bases
- Environment Act: https://wetten.overheid.nl/jci1.3:c:BWBR0037885&z=2024-01-01&g=2024-01-01
- Building Works Environment Decree (Bbl),: https://wetten.overheid.nl/BWBR0041297/2026-03-27
Operations
Data
The algorithm assesses asbestos demolition notifications for the mandatory data (submission requirements) and tests this against applicable laws and regulations. The algorithm uses the assessment framework and is trained with its own datasets of previously human-assessed notifications.
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