Algorithm Registers

A Box-Ticking Exercise or Meaningful Tool for Transparency

Bibliographic Data

ID12839426
AuthorsEsther Nieuwenhuizen (0000-0003-0199-8848, Utrecht University, corresponding author)
Year2024
Volume29
Issue4
Pages415-433
Publication date2024-11-01
Open AccessYes
TypeARTICLE
VenueInformation Polity (JOURNAL)
Journal identifiersISSN: 1875-8754 • E-ISSN: 1570-1255
PublisherIOS Press (PUBLISHER • NL)
DOI10.1177/15701255241297107
OpenAlexW4406954587
LanguageEN
Citations received4
References cited32

Governments increasingly implement algorithm registers—openly accessible overviews of algorithms used in decision-making—to promote transparency and accountability. However, the contribution of these registers is questioned: some scholars claim that governments only disclose politically non-sensitive algorithms and provide information with limited usefulness for accountability purposes. In contrast, a more optimistic view is also put forward: registers help organizations to be transparent to the public, which increases public trust in algorithm use. In response to this academic debate, this paper aims to provide a theoretical understanding and an empirical mapping of the different factors that shape algorithm registers and their implications. I conducted in-depth interviews with 27 respondents, both developers (public organizations) and key users (oversight authorities and societal watchdogs) of algorithm registers in the Netherlands, and I analyzed 33 policy documents. The findings nuance the current criticisms. While I find that public organizations indeed selectively disclose information and registers are currently not found useful by societal watchdogs and oversight authorities, there are also dynamics that could contribute to more responsible use of algorithms by public organizations, such as a potential disciplining effect of registers. This study highlights the importance of going beyond the rhetoric on algorithm registers, by establishing a deep understanding of the indirect and unexpected dynamics they create. The paper concludes that algorithm registers are currently not a meaningful tool for transparency, but a meaningful box-ticking exercise for public organizations

Computer security · Transparency (behavior · Adversarial Robustness in Machine Learning · Computer Science · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI

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