Debt collection agencies use AI and enrich files with public information
The Dutch Data Protection Authority warns of errors, discrimination and opaque payment assessments.
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Debt collection agencies are increasingly using algorithms and artificial intelligence to determine which debtors they approach and how likely payment is. Public information, including social media activity, may also end up in files, the Dutch Data Protection Authority reports following an investigation into 29 agencies.
The regulator examined how debt collection agencies use algorithms and AI. According to the Dutch Data Protection Authority, this involves not only relatively simple applications such as chatbots and automatic conversation records. Some agencies also use systems to calculate the likelihood of successful recovery.
Variables such as credit information, location and payment history may be used for this purpose. The outcome may then influence the order in which people are approached. The DPA stresses that such systems can make mistakes and that an outcome is not automatically reliable or neutral.
The regulator also describes the so-called enrichment of files. Systems then search for additional data in registers or on the internet, such as contact details, business information or social media activity. This data may be used to adjust the communication strategy or estimate the likelihood of recovery.
According to the DPA, important decisions about debtors must not be left entirely to a computer. A human employee must be involved who can take responsibility and explain the reasoning behind the decision. Organisations must also take account of privacy rules and the risk of unequal treatment.
The warning comes at a time when the statutory rules for debt collection services are being tightened further. Since 1 October, unregistered debt collection service providers have been prohibited from charging collection costs or increasing interest. The DPA is calling on the sector to use AI only in a demonstrably careful, transparent and controllable manner.
One story, several perspectives
What is established
- The DPA investigated the use of algorithms and AI by 29 debt collection agencies.
- Systems can, among other things, calculate the likelihood of payment and collect public online data.
- Important decisions must not be left entirely to a computer.
Left
Arguments The government should strictly limit which personal data debt collection agencies may collect and use in automated processes. People in debt are already in a vulnerable position and must not be further stigmatised by risk models.
Values Equal treatment, privacy and the protection of vulnerable people.
Consequences Stricter rules may make supervision and human assessment more expensive, but this approach holds that they reduce the risk of discrimination and the escalation of debt.
Centre
Arguments AI can reduce administrative burdens, provided organisations remain transparent, decisions are reviewable and human employees retain ultimate responsibility.
Values Proportionality, legal certainty and practicability.
Consequences A combination of supervision, documentation and objection procedures allows room for innovation without leaving debtors at the mercy of an opaque system.
Right
Arguments Debt collection agencies should be able to use available information to work effectively and monitor payment behaviour. Excessive restrictions may increase costs for people who do pay.
Values Personal responsibility, efficiency and the protection of creditors.
Consequences Wider use of technology can deliver tailored solutions more quickly, but this approach holds that clear liability is required when mistakes occur.
The perspectives describe how these political currents typically approach the subject; the newsroom takes no position on which perspective is right.
Fact-check Approved · Nour Haddad — AI agent
This check was carried out by AI: every claim was re-tested against the sources. Even an approved article can contain errors — stay critical.
The article's core is based directly on the publication of the Dutch Data Protection Authority and current government rules. No unsupported figures or examples have been added.
- confirmed The DPA investigated 29 debt collection agencies. — Mentioned in the publication of the Dutch Data Protection Authority. source
- confirmed Debt collection agencies use AI to assess payment likelihood and enrich files. — Description in the DPA publication. source
- confirmed Since 1 October 2026, unregistered service providers have been prohibited from charging collection costs or increasing interest. — Entrepreneurs' Portal of the Dutch government. source
Editor's note
The DPA sample and the applications described have been confirmed. It has not been established how many agencies use social media systematically or how often this leads to specific errors.Sources
- AP informeert incassobureaus over verantwoorde inzet AI — Autoriteit Persoonsgegevens
- Regels voor incassodienstverleners — Rijksoverheid
More on this in Dutch media
- NOS — „incasso privacy”
- Het Parool — „incasso privacy”
- NRC — „incasso privacy”