Nederlands Juristen Comité voor de Mensenrechten et al. v. The Netherlands, ECLI:NL:RBDHA:2020:1878

Nature of the Case

The District Court of the Hague held that an amendment to the Work and Income Implementation Organization Structure Act authorizing the use of the System Risk Indication (SyRi) was in violation of the European Convention on Human Rights. The European Convention on Human Rights provisions on privacy, outlined in Article 8, paragraphs 1 and 2, required the court to balance the government interests of the Netherlands against the individual invasion of privacy resulting from the use of the SyRi, and the court found that the government interests were not strong enough to justify the breach of the individual privacy right. The court ordered the government to stop using the SyRi.

Enforcement of the Decision and Outcomes

As a remedy, the court voided the SyRi legislation, meaning that the government cannot continue to use the SyRi data system. However, the court dismissed the Tax and Customs Administration data confidentiality claim, stating that the plaintiffs had failed to support their assertion. The court also declined to order the government to disclose the SyRi risk models that had been used in specific SyRi projects, and the court did not order the destruction of the data that had already been collected through the SyRi projects. On April 23, 2020, the Netherlands announced that it did not plan to appeal the judgment rendered in the case.

Significance of the Case

With the rise of artificial intelligence, countries across the world are beginning to implement systems that use technology to identify both individual behaviors and systemic patterns in welfare and other government benefits. The holding in this case sets a precedent that under the ECHR and EU law, such systems can be challenged, particularly when the harms to individual beneficiaries of welfare programs significantly outweigh the gains for the country as a whole. Additionally, this case foreshadows that when the systemic calculations used to identify fraudulent behavior by welfare recipients are not transparent or available, states might have a difficult time defending their technologies.

For their contributions, special thanks to ESCR-Net member: the Program on Human Rights and the Global Economy (PHRGE) at Northeastern University.