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
- 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
Support in the review process where legal protection applies to information disclosed. Protection of the grounds for exception set out in the AVG and Woo legislation, such as privacy-sensitive personal and business data
Considerations
Manual review is intensive and error-prone. A suggestion list from the entity extraction algorithm captures all conceivable instances of individuals in the text.
Human intervention
Within the software, a list is built and offered to the user to select in the automatic varnishing process. The choice to adopt an advised term as a person name and not disclose it is up to the user who makes a decision on this based on the context.
Risk management
There is no risk of automated decision-making and the algorithm has no impact on fundamental rights because the algorithm does not make decisions with legal consequences. It only suggests anonymising personal data. In doing so, the algorithm provides precisely for the protection of fundamental rights. The Province employee always does the final check whether a document is correctly anonymised.
Legal basis
Legislation around public access to government data (Woo)
Links to legal bases
Operations
Data
This concerns documents as named in the Woo and messaging information within the Province. Including email, files, Whatsapp messages and other media in which administrative decision-making can be found.
Links to data sources
Technical design
Texts are recognised on the basis of Named Entity Recognition (NER) and a process within Insights extracts the names for further processing towards the management interface and the automatic lacquer rules.
External provider
Similar algorithm descriptions
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- Status
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