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.

Intake debt assistance

The algorithm supports the counsellor in recommending services to the client. Based on questionnaires, the algorithm comes up with a proposal of services with which the citizen might be helped. The counsellor can decide which services to adopt and whether other services are needed.

Last change on 4th of July 2024, at 11:28 (CET) | Publication Standard 1.0
Publication category
High-Risk AI-system
Impact assessment
DPIA, ...
Status
In use

General information

Theme

Social Security

Begin date

Field not filled in.

End date

2024-07

Contact information

privacy@delft.nl

Link to publication website

www.delft.nl

Responsible use

Goal and impact

Offer correct and consistent services to clients with debt relief needs.

Citizens can be better served by this module.

Considerations

The functionality supports the consultant in putting together the package of services. It can point the counsellor to opportunities that the counsellor might not have seen on his or her own. The module captures knowledge about service provision. Every (new) employee can use it to arrive at the right package. This helps improve service delivery.

Human intervention

The consultant decides which services to take over and which additional services to add.

Risk management

Besides the existing questionnaire, no additional questions are asked of clients for the algorithm and no new information is captured. The information from the existing questionnaire, to support the counsellor, is now also processed by the algorithm.

Legal basis

The municipality is legally obliged to offer debt assistance

Links to legal bases

Wet op schuldhulpverlening: https://wetten.overheid.nl/BWBR0031331

Impact assessment

  • DPIA intake schuldhulpverlening: n.v.t.
  • Algoritme Impact Assessment Intake schuldhulpverlening: n.v.t.

Operations

Data

Data on the (financial) situation of the data subject

Technical design

Based on the comprehensive questionnaire completed by the client and the counsellor together, a score is built up for each question. This score consists of two options: Orange or Blue. Where orange stands for unstable personal situation and unstable debt situation and blue for stable personal situation and stable debt situation.


After completing the questionnaire, an overall score and a score on personal dimensions follow. The personal dimensions are:


- Living situation (Blue if >= 67%)

- Influence of the debt situation (Blue if >= 67%)

- Social participation by the client (Blue if >= 75%)

- Spending behaviour of the client (Blue if >= 80%)

- Attitude of the client (Blue if >= 67%)

- Regularity of the client (Blue if >= 100%)


To these scores, departments have linked certain services that can help clients with that score. Those matching services are shown as proposals. The counsellor decides which services to adopt and which services to add.

External provider

Wolters Kluwer

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