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.
SafeSpend - control payment files
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA, IAMA
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
Preventing erroneous, improper, duplicate and/or fraudulent payments.
Considerations
The deployment of the SafeSpend algorithm is justified because of the added value it offers the municipality of The Hague with regard to efficiency and, in particular, risk management within the payment processes. This involves little to no (potential) risks, provided the 'blacklist' option is not used. The deployment of the algorithm is thus reasonably justified.
Human intervention
The algorithm does not make decisions, but points out deviations that the user has to review in the SafeSpend application. The user reviews these anomalies and decides whether or not to pay out the transaction. In case of a decision not to pay out (yet), further investigation and/or targeted action follows.
Risk management
Risk management takes place through periodic monitoring and evaluation of the risks and - based on this - taking necessary and appropriate control measures. Due to strict security techniques, this algorithm does not pose a risk to those involved.
Legal basis
There is the 'legitimate interest' within the meaning of Article 6(1)(f) AVG (regarding processing of personal data). Based on General Principles of Proper Administration (Abbb): the principle of due care.
Impact assessment
- Data Protection Impact Assessment (DPIA)
- Impact Assessment Mensenrechten en Algoritmes (IAMA)
Operations
Data
- Bank data (payment orders and bank statements): bank account number, total amount, beneficiary name, description/payment reference
- External data (Chamber of Commerce, big data)
Technical design
For each transaction, each algorithm calculates a risk score that ensures that possible incorrect, fraudulent payments are identified to the user who then has to assess them. These are rule-based algorithms.
External provider
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