The DOI matches its Crossref record; 10 of the 11 references it cites were found in a registry or an index.
Digital welfare fraud detection and the Dutch SyRI judgment
Open accessAbstract
In 2020, a Dutch court passed judgment in a case about a digital welfare fraud detection system called Systeem Risico Indicatie (SyRI). The court ruled that the SyRI legislation is unlawful because it does not comply with the right to privacy under the European Convention of Human Rights. In this article we analyse the judgment and its implications. This ruling is one of first in which a court has invalidated a welfare fraud detection system for breaching the right to privacy. We show that the immediate effects of the judgment are limited. The judgment does not say much about automated fraud detection systems in general, because it is limited to the circumstances of the case. Still, the judgment is important. The judgment reminds policymakers that fraud detection must happen in a way that respects data protection principles and the right to privacy. The judgment also confirms the importance of transparency if personal data are used.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Van Bekkum and Zuiderveen Borgesius therefore note that its immediate legal implications are limited, even though it confirms the importance of transparency, dataprotection principles and effective rights review in digital welfare administration (Van Bekkum and Zuiderveen Borgesius, 2021).”
From Human-centric AI governance in the European Union. Accountability, fundamental rights, and institutional resilience in public administration (2026) · cites this paper as Van Bekkum and Zuiderveen Borgesius, 2021
In the citing paper
“Current international and national law does not establish legally binding requirements for XAI in tax, 173 but some soft law instruments engage with matters of AI and explanation, which are scrutinized in section 4.2.”
From Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard (2022) · cites this paper as [173]
In the citing paper
“Current international and national law does not establish legally binding requirements for XAI in tax, 173 but some soft law instruments engage with matters of AI and explanation, which are scrutinized in section 4.2.”
From Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard (2022) · cites this paper as [173]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Lebovits, H. (2018) · Public Integrity · doi:10.1080/10999922.2018.1511671 · Cited by 3,320 · cited 1×
“Indeed, large-scale data processing for fraud detection creates a risk of discriminating against certain groups (see, from a US perspective, (Eubanks, 2018).”
The Emergence of Personal Data Protection as a Fundamental Right of the EU
Fuster, G. G. (2014) · Law, governance and technology series · doi:10.1007/978-3-319-05023-2 · Cited by 295 · cited 1×
“…Authority (College Bescherming Persoonsgegevens), 2014) and the Dutch Council of State (which provides advice on legal Bills) (Raad van State (Council of State), 2014) both criticised the proposed SyRI system, because the proposals hardly limited the amount of personal data that could be collected.”
Data Protection in the Case Law of Strasbourg and Luxemburg: Constitutionalisation in Action
Hert, P. D., & Gutwirth, S. (2009) · Springer eBooks · doi:10.1007/978-1-4020-9498-9_1 · Cited by 137 · cited 1×
“That court had to be so creative in cases regarding personal data processing because the Convention, which dates back to 1950, does not include a separate right to the protection of personal data (De Hert and Gutwirth, 2009: 24–25).”
Zuiderveen Borgesius, F. J. (2016) · Computer Law & Security Review · doi:10.1016/j.clsr.2015.12.013 · Cited by 108 · cited 1×
“See, for more detail on pseudonymous data, Zuiderveen Borgesius, 2016.”
Self-citationThe Right Not to Be Subject to Automated Decisions Based on Profiling
Mendoza, I., & Bygrave, L. (2017) · Springer eBooks · doi:10.1007/978-3-319-64955-9_4 · Cited by 80 · cited 4×
“As noted, the court also discussed Article 22 GDPR, the provision on automated decision-making.”
InfluentialFundamental Rights in Digital Welfare States: The Case of SyRI in the Netherlands
Bekker, S. (2020) · Netherlands yearbook of international law · doi:10.1007/978-94-6265-403-7_24 · Cited by 74 · cited 1×
“Moreover, there has not been much academic writing on the judgment in English (other scholarly publications about the judgment in English are: Meuwese, 2020; Bekker, 2021; Wieringa, 2021).”
Gantchev, V. (2019) · European Journal of Social Security · doi:10.1177/1388262719838109 · Cited by 68 · cited 1×
“6 The Dutch Parliament adopted the SyRI legislation without debate (for more details about the SyRI history, see Gantchev, 2019: 17; Jansen and Reijneveld, 2020; Wieringa, 2021).”
Improving Privacy Protection in the area of Behavioural TargetingPreprint
Borgesius, F. Z. (2015) · arXiv.org · doi:10.2139/ssrn.2654213 · Cited by 27
Self-citationNoot bij: Rb. Den Haag 05 februari 2020, JB, JB, 2020, 63 (SyRI-wetgeving in strijd met het EVRM)
Jansen, R. H. T., & Reijneveld (2020) · Jurisprudentie Bestuursrecht · Cited by 1
Activity Trackers: Unrealized Promise
(2017) · The Back Letter · doi:10.1097/01.back.0000526795.58565.95 · Cited by 1
Research works printed but not linked: 5
- Besselink LFM (2012) Constitutional Adjudication in the Era of Globalization: The Netherlands in Comparative Perspective. European Public Law. Alphen aan den Rijn The Netherlands: Kluwer Law International: 231–245. Available at: http://www.kluwerlawonline.com/api/Product/CitationPDFURL?file=Journals\EURO\EURO2012013.pdf. · DOI
- Gantchev V (2021) SyRI en zijn rechtsopvolger de WGS: Oude wijn in nieuwe zakken [Syri and its legal successor the WGS: old wine in new bottles]. Tijdschrift Recht en Arbeid 4.
- Jansen RHT, Reijneveld MD (2020) SyRI-wetgeving in strijd met het EVRM’ [SyRI legislation breaches the ECHR]. Jurisprudentie Bestuursrecht 4: 371–405.
- Meuwese A (2020) Regulating algorithmic decision-making one case at the time. A note on the Dutch ‘SyRI’ judgment 1(1): 209–211.
- Wieringa MA (2021) ‘Hey SyRI, tell me about algorithmic accountability: The lessons we can learn from an existing algorithmic system’ in Approaching algorithmic account(-)ability: developing tools to foster formalized and practical transparency in municipal data projects [Doctoral dissertation in preparation, Utrecht University, Utrecht].
Cited by
Sorted by citations
Algorithms in the court: does it matter which part of the judicial decision-making is automated?
Barysė, D., & Sarel, R. (2023) · Artificial Intelligence and Law · doi:10.1007/s10506-022-09343-6 · Cited by 124
“SyRI was challenged by civil rights organizations in the District Court of The Hague, which then ruled that the technology violates the right to privacy (van Bekkum and Borgesius 2021; Buijsman and Veluwenkamp 2022).”
Newman, J., & Mintrom, M. (2023) · Journal of European Public Policy · doi:10.1080/13501763.2023.2193223 · Cited by 47
“…Committee of Jurists for Human Rights) and two famous Dutch authors was formed to sue the government for its use of the SyRI system, and an amicus brief was also submitted to the Dutch court against the use of the SyRI system from an o ffi cial in the United Nations (van Bekkum & Borgesius, 2021).”
BackgroundMethodThe implosion of the Dutch surveillance welfare state
Fenger, M., & Simonse, R. (2024) · Social Policy & Administration · doi:10.1111/spol.12998 · Cited by 46
Mökander, J., & Schroeder, R. (2024) · Social Science Computer Review · doi:10.1177/08944393241235175 · Cited by 54
Gestel, R. V., Goedemé, T., Janssens, J., Lefevere, E., & Lemkens, R. (2022) · Journal of Social Policy · doi:10.1017/s004727942100088x · Cited by 52
“Hey SyRI, tell me about algorithmic accountability”: Lessons from a landmark case
Wieringa, M. (2023) · Data & Policy · doi:10.1017/dap.2022.39 · Cited by 35
Artificial intelligence and its ‘slow violence’ to human rights
Teo, S. A. (2024) · AI and Ethics · doi:10.1007/s43681-024-00547-x · Cited by 53
“In turn, AI systems have also been used to surveil and monitor [33], and in some examples, even deny vulnerable populations of their social and economic rights [17 ].”
Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard
Kuźniacki, B., Almada, M., Tyliński, K., Górski, L., Winogradska, B., & Zeldenrust, R. (2022) · World Tax Journal · doi:10.59403/2yhh9pa · Cited by 31
Competing narratives in AI ethics: a defense of sociotechnical pragmatism
Watson, D., Mökander, J., & Floridi, L. (2024) · AI & Society · doi:10.1007/s00146-024-02128-2 · Cited by 45
“While its stated purpose was to make state administration more efficient, SyRI was found to systematically discriminate against minorities, wrongly accusing over 26,000 families of benefit fraud (van Bekkum and Borgesius 2021).”
The Adoption of Artificial Intelligence in Bureaucratic Decision-making: A Weberian Perspective
Presuel, R. C., & Sierra, J. M. M. (2023) · Digital Government Research and Practice · doi:10.1145/3609861 · Cited by 40
“[48] The court found that Dutch authorities failed to exercise their special responsibility towards the application of new technologies that can invade privacy.”
BackgroundMachine learning and the optimization of prediction-based policies
Battiston, P., Gamba, S., & Santoro, A. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123080 · Cited by 26
En vidunderlig ny velferdsstat? Rettsstaten møter den digitale velferdsforvaltningen
Nordrum, J. C. F., & Ikdahl, I. (2022) · Tidsskrift for velferdsforskning · doi:10.18261/tfv.25.3.1 · Cited by 16
Naudts, L. (2024) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3630106.3658934 · Cited by 19
Unfairness in AI Anti-Corruption Tools: Main Drivers and Consequences
Odilla, F. (2024) · Minds and Machines · doi:10.1007/s11023-024-09688-8 · Cited by 26
“…fraud detection system that used personal data from multiple sources for not complying with the right to privacy under the European Convention of Human Rights, noting that there was a risk that the system would be biased against people in lower-income neighbourhoods (van Bekkum & Borgesius, 2021).”
Requirements for Tax XAI Under Constitutional Principles and Human Rights
Kuzniacki, B., Almada, M., Tyliński, K., & Górski, Ł. (2022) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-15565-9_14 · Cited by 14
Decision-making power and responsibility in an automated administration
Langer, C. (2024) · Discover Artificial Intelligence · doi:10.1007/s44163-024-00152-1 · Cited by 12
Monteiro, J. I. (2025) · Springer eBooks · doi:10.1007/978-3-031-84748-6_9 · Cited by 11
Alfrink, K., Keller, I., Yurrita, M., Bulygin, D., Kortuem, G., & Doorn, N. (2024) · She ji · doi:10.1016/j.sheji.2024.03.003 · Cited by 14
Access Denied: Meaningful Data Access for Quantitative Algorithm Audits
Zaccour, J., Binns, R., & Rocher, L. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713963 · Cited by 10
He, J., & Zhang, Z. (2025) · Laws · doi:10.3390/laws14040054 · Cited by 19
“Additionally, the court expressed concerns that SyRI might systematically discriminate based on socioeconomic status or migration background (van Bekkum and Borgesius 2021).”
Metamorphic Testing and Debugging of Tax Preparation Software
Tizpaz-Niari, S., Monjezi, V., Wagner, M., Darian, S., Reed, K., & Trivedi, A. (2023) · IEEE/ACM International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS) · doi:10.1109/icse-seis58686.2023.00019 · Cited by 9
“Furthermore, the court found that the SyRI legislation is insufficiently transparent and verifiable and brings risks of discrimination [47].”
BackgroundDesigning for AI Transparency in Public Services: A User-Centred Study of Citizens’ Preferences
Schmager, S., Gupta, S., Pappas, I. O., & Vassilakopoulou, P. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-61315-9_17 · Cited by 9
Licht, K. D. F., & Folland, A. (2025) · Public Administration · doi:10.1111/padm.70029 · Cited by 12
Introduction to Responsible AI
Baeza-Yates, R. A. (2024) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3616855.3636455 · Cited by 9
“• Social impact: unfair digital markets [9], political instability [47], disinformation [28], mental health issues [48], evaluation toxicity [44], impersonation [19], copyrights [46], etc. • Environmental impact: indiscriminate use of resources [11].”
BackgroundSmart cities and cumulative effects on fundamental rights
Christofi, A. (2023) · Internet Policy Review · doi:10.14763/2023.1.1701 · Cited by 7
Berntsen, A., Foss, E. M., Fugletveit, R., Geirbo, H. C., Huby, G. Ø., Ihlebæk, H. M., Ollila, P. E., Røste, R., Røyrvik, J. O. D., Sørhaug, C., et al. (2023) · doi:10.23865/noasp.196 · Cited by 10
Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in Practice
Jaime, S., & Kern, C. A. (2024) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3630106.3658902 · Cited by 8
“The Dutch System Risk Indication (SyRI) program faced criticism for targeting low-income, migrant, and ethnic-minority neighborhoods, leading to concerns about profiling and privacy violations [70].”
BackgroundHuman vs. Artificial Intelligence
Baeza-Yates, R. A., & Villoslada, P. (2022) · IEEE International Conference on Cognitive Machine Intelligence (CogMI) · doi:10.1109/cogmi56440.2022.00016 · Cited by 7
“…today we are seeing not only automated discrimination with unforeseen outcomes ( e.g. , the resignation of the whole Dutch government in 2021 [68]) but also modern phrenology ( e.g. , criminality prediction using facial biometrics in 2016 and 2020 [72], [23]), up to people being killed (…”
BackgroundArtificial Intelligence, Public Administration, and the Rule of Law
Meneceur, Y. (2023) · Springer eBooks · doi:10.1007/978-3-031-30142-1_6 · Cited by 5
Fairness in Algorithmic Profiling: The AMAS Case
Achterhold, E., Mühlböck, M., Steiber, N., & Kern, C. A. (2025) · Minds and Machines · doi:10.1007/s11023-024-09706-9 · Cited by 12
“Algorithmic profiling may also be used to allocate severe punitive actions, as demonstrated by controversial applications in the Netherlands which included the prediction-based identification of welfare fraud (van Bekkum & Borgesius, 2021).”
Gender in a stereo-(gender)typical EU AI law: A feminist reading of the AI act
Karagianni, A. (2025) · Cambridge Forum on AI Law and Governance · doi:10.1017/cfl.2025.12 · Cited by 6
Bozdoğanoğlu, B. (2025) · Sayıştay Dergisi · doi:10.52836/sayistay.1771754 · Cited by 5
Sode, K. (2026) · AI & Society · doi:10.1007/s00146-026-02885-2 · Cited by 4
“Beyond COMPAS, the Dutch SyRI welfare-fraud sys-tem illustrates how high-stakes consequences plus limited transparency/verifiability can strengthen justificatory burden shifts under constrained contestability (van Bekkum and Zuiderveen Borgesius 2021; Rachovitsa and Johann 2022).”
How to Demonstrate Trustworthy Use of AI in Public Services: A Case Study
Smith, N., Gillespie, N. A., Rinta-Kahila, T., Lockey, S., Pool, J. K., & Curtis, C. (2026) · Information Systems Journal · doi:10.1111/isj.70025 · Cited by 5
“First, the case focuses on the application of AI in government debt collection from citizens, a context characterised by high distrust from multiple stakeholders (Henley 2021; Lindebaum et al. 2023; Van Bekkum and Borgesius 2021).”
Pérez‐Durán, I., Acebillo‐Baqué, M., & Comellas, J. M. (2024) · Teaching Public Administration · doi:10.1177/01447394241307506 · Cited by 3
“In this case we describe a case in which both central and local governments implemented a program named “ System Risk Indication ” (SyRI) to detect social welfare fraud (Van Bekkum and Borgesius, 2021).”
The Fast, the Feeble, and the Furious: Digital Transformation of Temporality in Clinical Care
Ihlebæk, H. M. (2023) · doi:10.23865/noasp.196.ch5 · Cited by 3
Indeterminacy of Legal Language as a Guide Towards Ideally Algorithmisable Areas of Law
Krištofík, A. (2024) · Law Technology and Humans · doi:10.5204/lthj.3524 · Cited by 3
Automation Within a Novel Platform for the European Small Claims Procedure
Veersalu, K., & Hoffmann, T. (2023) · TalTech Journal of European Studies · doi:10.2478/bjes-2023-0019 · Cited by 2
Tøndel, G., & Åm, H. (2023) · doi:10.23865/noasp.196.ch2 · Cited by 2
(2025) · Amsterdam University Press eBooks · doi:10.1515/9789048562725 · Cited by 3
Kiejnich-Kruk, K., Twardawa, M. G., & Formanowicz, P. (2025) · Artificial Intelligence and Law · doi:10.1007/s10506-025-09492-4 · Cited by 8
Sørhaug, C., & Fugletveit, R. (2023) · doi:10.23865/noasp.196.ch0 · Cited by 3
Geirbo, H. C., & Røste, R. (2023) · doi:10.23865/noasp.196.ch3 · Cited by 2
The Impact of Differential Feature Under-reporting on Algorithmic Fairness
Akpinar, N.-J., Lipton, Z. C., & Chouldechova, A. (2024) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3630106.3658977 · Cited by 2
Temporalities of welfare automation: On timing, belatedness, and perpetual emergence
Kaun, A. (2025) · Time & Society · doi:10.1177/0961463x251313572 · Cited by 2
“In recent years, many countries globally have witnessed the increased use of algorithmic automation in the welfare domain (Burrell et al., 2024), including improved record keeping with the help of robotic process automation, such as through the Trelleborg model in Sweden (Kaun, 2021), citizen scoring in the United Kin…”
Lazarotto, B. D. R. (2025) · Springer eBooks · doi:10.1007/978-3-031-84748-6_3 · Cited by 2
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
Gürsoy, F., & Kakadiaris, I. A. (2022) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw58026.2022.00027 · Cited by 2
“[1], welfare fraud risk scoring [2], biometric recognition in law enforcement [3], employment decisions [4], and visa application decisions [5].”
BackgroundHuby, G. Ø. (2023) · doi:10.23865/noasp.196.ch1 · Cited by 2
Notions of Fairness in Automated Decision Making: An Interdisciplinary Approach to Open Issues
Yousefi, Y. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-12673-4_1 · Cited by 1
van Schie, G., Candidatu, L., & Huyskes, D. (2025) · Amsterdam University Press eBooks · doi:10.1515/9789048562725-016 · Cited by 1
Kiely, E., & Swirak, K. (2025) · European Journal of Social Security · doi:10.1177/13882627251351126 · Cited by 1
“For instance, the Dutch Government ’ s SYRI (Systeem Risico Indicatie ) developed in 2014, used to predict the risk of welfare fraud in poor communities with concentrations of migrants, was found by the District Court in the Hague in 2020 to violate the European Convention on Human Rights (Van Bekkum and Borgesius, 20…”
Iwan-Sojka, D. (2025) · Studia Iuridica · doi:10.31338/2544-3135.si.2025-106.6 · Cited by 1
The Stability Dilemma: Addressing Uncertainty in Public Sector AI
Elliott, M. T. J., & Padmanabhan, D. (2025) · IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) · doi:10.1109/ethics65148.2025.11098414 · Cited by 1
“The Dutch SyRI system, designed to detect fraudulent welfare claims, attempted to predict human behaviors by integrating multiple dataflows, including finance records and demographics [20].”
Sztandar‐Sztanderska, K., & Mazur, J. (2025) · International Journal of Law in Context · doi:10.1017/s1744552325100141 · Cited by 2
The right to game AI-systems: a speculative right for contestation
van den Boom, F. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2025.1620310 · Cited by 1
Building Trust in Automated Decision-Making: Explainable AI as a Compliance-First Adoption Strategy
Malanond, S., & Boonyopakorn, P. (2026) · IEEE International Conference on Cybernetics and Innovations (ICCI) · doi:10.1109/icci68752.2026.11506463 · Cited by 1
“…and contestability (C4 absent): individuals flagged by SyRI were not notified of their risk score, could not access the model logic or the data combinations underlying their classification, and had no practical mechanism to challenge automated outputs before enforcement action was taken [25].”
Public Understandings of Microaggressions and the Harm They Do
Mulder, E., & Bosma, A. K. (2026) · Journal of Interpersonal Violence · doi:10.1177/08862605261463257 · Cited by 1
Sørhaug, C., Ollila, P. E., & Slettaøien, J. (2023) · doi:10.23865/noasp.196.ch6 · Cited by 1
Røyrvik, J. O. D., & Berntsen, A. (2023) · doi:10.23865/noasp.196.ch4 · Cited by 1
Fugletveit, R., & Lofthus, A. (2023) · doi:10.23865/noasp.196.ch7 · Cited by 1
Griffin, R., Jordan, A., & Tuite, A. (2024) · Australian Journal of Social Issues · doi:10.1002/ajs4.365 · Cited by 1
Dragomir, A. N., Bulea, I., & Tarnu, L. I. (2026) · Frontiers in Political Science · doi:10.3389/fpos.2026.1928481 · Cited by 1
Who Owns AI When It Breaks? The Convergence of AI Governance and Cybersecurity Accountability
Montgomery, J., & Copeland, J. (2026) · The Pinnacle: A Journal by Scholar-Practitioners · doi:10.61643/c79060
Metaphors We Nudge By: Reflections on the Impact of Predictive Algorithms on our Self-understanding
de Mul, J. (2023) · Springer eBooks · doi:10.1007/978-3-031-26568-6_3
Becoming In/dependent: An Assemblage Analysis of Technical Design from Below
Foss, E. M., & Sørhaug, C. (2023) · doi:10.23865/noasp.196.ch8
A UTILIZAÇÃO DA INTELIGÊNCIA ARTIFICIAL COMO UM INSTRUMENTO DE PROTEÇÃO CLIMÁTICA
Sarlet, I. W., & Filter, P. A. S. (2024) · Casa Leiria eBooks · doi:10.29327/5385477.1-2
DIREITO E INTELIGÊNCIA ARTIFICIAL PERSPECTIVAS PARA UM FUTURO ECOLOGICAMENTE SUSTENTÁVEL
Hupffer, H. M. (2024) · Casa Leiria eBooks · doi:10.29327/5385477
Pedersen, E. O. (2024) · SATS · doi:10.1515/sats-2024-0008 · Cited by 1
Ahrweiler, P., Abe, J., & Neumann, M. (2025) · Artificial intelligence, simulation and society · doi:10.1007/978-3-031-71678-2_1
Civic Vice in Digital Governance
Reijers, W. (2025) · Springer eBooks · doi:10.1007/978-3-031-84748-6_14
Ethical and Corporate Social Responsibility
Lindez-Macarro, M.-E., & Villalba-Romero, F. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9894-4.ch003
Automatizácia súdneho rozhodovania ako ochrana nedistributívnych práv
Krištofík, A. (2025) · Časopis pro právní vědu a praxi · doi:10.5817/cpvp2025-1-2
Reijers, W., Young, M. T., & Coeckelbergh, M. (2025) · Palgrave philosophy today · doi:10.1007/978-3-031-85887-1_10
Az előrelátó rendészet - a bűnmegelőzés jövője?
Korinek, L. (2025) · Jogtudományi Közlöny · doi:10.59851/jk.80.12.2
Towards eXplainable Artificial Intelligence (XAI) in tax law : the need for a minimum legal standard
ALMADA, M., ALMADA, M., TYLIŃSKI, K., GÓRSKI, Ł., WINOGRADSKA, B., & ZELDENRUST, R. (2022) · Cadmus - EUI Research Repository (European University Institute)
Schäfer, M. T., & Mäkelä, P. (2025) · Critical AI · doi:10.1215/2834703x-12095964
Fusion Technologies in Governance
Pareek, K., Goyal, N. K., Kushwaha, S., Sharma, N., Sinha, S. K., & Goyal, N. K. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7804-6.ch006
AI-driven financial control systems: machine learning models for fraud and compliance monitoring
Ergashev, I. A. (2026) · AI and Ethics · doi:10.1007/s43681-026-01031-4
Demirci, M. R. (2026) · Uluslararası Yönetim Akademisi Dergisi · doi:10.33712/mana.1805560
Tasking AI Fairly. How to Empower AI Practitioners With sXAI?
Alpsancar, S., & Stamboliev, E. (2026) · Springer eBooks · doi:10.1007/978-981-96-5290-7_29
Human Rights in the Artificial Intelligence Era: Opportunities and Pitfalls
Dinç, G., & DÖM, Ö. Ö. (2026) · Cankiri Karatekin Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi · doi:10.18074/ckuiibfd.1633000 · Cited by 1
Shen, P. (2026) · Computer law & security review · doi:10.1016/j.clsr.2026.106307
Mukhametov, D. R. (2026) · Humanities and Social Sciences Bulletin of the Financial University · doi:10.26794/2226-7867-2026-16-2-95-102 · Cited by 1
Support for AI in Public Administration: A Comparative Study of the United Kingdom and Japan
Pickering, S., Hansen, M. E., & Sunahara, Y. (2026) · International Journal of Public Administration · doi:10.1080/01900692.2026.2667201
Between Civic AI and the Agentic State: The Pathways of Post-Digital Democratic Governance
Pane, S. (2026) · Journal of artificial intelligence for sustainable development. · doi:10.69828/4d4ktj
Currie, M. E., Spring, A., & Podoletz, L. (2026) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3805689.3812348
IANUSHEVYCH, I., & Губанова, Т. О. (2026) · Multidisciplinary Reviews · doi:10.31893/multirev.2026spe014
Perrou, K., Christodoulopoulos, T. A., Avlichou, A.-M., & Psychogiou, D. (2026) · WU Institute for Austrian and International Tax Law, tax law and policy series. · doi:10.59403/1gs8pg9004
Governing the Impact of AI Creation Systems in Public Administration
Namvong, A., & wiangwiset, T. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-0368-8.ch009
Algorithmic Institutions: The Logic of Rule by Code in Welfare, Mobility, and Retail
Patalon, M. (2026) · Digital Society · doi:10.1007/s44206-026-00281-3
“In doing so, SyRI embedded normative assumptions about deviance, compliance, and risk into a technical infrastructure that narrowed interpretive flex - ibility and plausibly amplified existing patterns of disadvantage (Vervloesem, 2020; van Bekkum & Borgesius, 2021).”
Tsaban, S. (2026) · Research Square · doi:10.21203/rs.3.rs-10462716/v1
Same System, Opposite Verdicts: Metric Discretion in AI Ethics Audits and the Limits of DisclosurePreprint
Tsaban, S. (2026) · Research Square · doi:10.21203/rs.3.rs-10576395/v1
Дракохруст, Т., & Марценко, Н. С. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-1232-1.ch007
Governing automated credit after explainability: From transparency to contestability
Alhasan, T. K., Alqaisi, M., & Alabdallat, F. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103577
Cultural Influences on Data Protection
Shery, M. A., Abdullah, A., Rahman, N., & Alam, M. S. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-9280-6.ch004
“Unprecedented Injustice”: network determinism in the Dutch digital welfare state
Huyskes, D. (2026) · AI and Ethics · doi:10.1007/s43681-026-01350-6
““Unprecedented Injustice”: network determinism in the Dutch digital welfare state Diletta Huyskes 1 independently of society but are shaped by political interests, cultural assumptions, organizational practices, and struggles between social groups [58, 75, 90].”
Artificial Intelligence, Economic Development, and Human Rights
Joseph, J. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9164-9.ch010
Berendsen, S., & Beauxis-Aussalet, E. (2026) · AI and Ethics · doi:10.1007/s43681-026-01375-x
“Although fairness-related harms of AI have been well documented [7, 39–45], the existing literature on FDS seldom considers fairness [24, 30, 33].”
Kuseyri, R. (2026) · Communications · doi:10.1515/commun-2025-0108
“…system intended for use by multiple authorities5, algorithmic indicators perpetuated existing societal biases regarding race and ethnicity as well as normative assumptions about gender, sexuality, and parenthood (Appelman et al., 2021; van Bekkum and Borgesius, 2021; van Schie et al., 2025).”
Metadata
- Authors
- van Bekkum, M., & Borgesius, F. Z.
- Affiliations
- Radboud University
- Radboud University Nijmegen (NL)
- Corresponding author
- Borgesius, Frederik Zuiderveen
- Venue
- European Journal of Social Security
- Publisher
- SAGE Publications
- Published
- 2021-08-02
- Volume
- 23
- Issue
- 4
- Pages
- 323-340
- ISSN
- 1388-2627 (ISSN-L)
- 2399-2948
- OpenAlex
- W3188403602
- Cited by
- 108
- References
- 11
- Citations by year
- 2026: 39 · 2025: 23 · 2024: 18 · 2023: 20 · 2022: 8
- FWCI
- 74.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Social Security (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- SyRI, right to privacy, European Convention on Human Rights, automated decision-making, personal data protection, transparency, data protection principles, judicial decisions, social security benefits
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review