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.

Anonymise

Identifying and anonymising privacy-sensitive information in information objects (in many cases documents).

Last change on 3rd of June 2024, at 11:30 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In use

General information

Theme

Organisation and business operations

Begin date

2022-10

Contact information

gemeente@huizen.nl

Link to publication website

Wet open overheid (Woo) | Gemeente Huizen

Responsible use

Goal and impact

The purpose of the algorithm is to anonymise privacy-sensitive information in information objects. This protects personal information and preserves the privacy of individuals.

Considerations

The algorithm is trained to recognise privacy-sensitive information, but is limited to classification and will therefore never reveal substantive information. Moreover, the technology helps improve the quality of anonymisation.

Human intervention

The algorithm results only act as a tool, with human intervention always needed for final anonymisation.

Risk management

To safeguard the privacy risks of the algorithm, it undergoes constant evaluation and updates to address new threats and privacy challenges. Human oversight and intervention are embedded to correct errors. Moreover, there is continuous dialogue with stakeholders.

Legal basis

Open Government Act
Electronic Publications Act

Links to legal bases

  • Wet open overheid (WOO): https://wetten.overheid.nl/BWBR0045754/
  • Wet elektronische publicaties (WEP): https://wetten.overheid.nl/BWBR0043961/

Operations

Data

Spatial plans and internal documents.

Links to data sources

Ruimtelijke plannen en interne documenten: https://www.ruimtelijkeplannen.nl/home

Technical design

Deep learning models that determine in both visual and textual ways what information is considered privacy-sensitive.

External provider

eData B.V.

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