59 research outputs found
Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem
Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem
The deployment of various forms of AI, most notably of machine learning algorithms, radically transforms many domains of social life. In this paper we focus on the news industry, where different algorithms are used to customize news offerings to increasingly specific audience preferences. While this personalization of news enables media organizations to be more receptive to their audience, it can be questioned whether current deployments of algorithmic news recommenders (ANR) live up to their emancipatory promise. Like in various other domains, people have little knowledge of what personal data is used and how such algorithmic curation comes about, let alone that they have any concrete ways to influence these data-driven processes. Instead of going down the intricate avenue of trying to make ANR more transparent, we explore in this article ways to give people more influence over the information news recommendation algorithms provide by thinking about and enabling possibilities to express voice. After differentiating four ideal typical modalities of expressing voice (alternation, awareness, adjustment and obfuscation) which are illustrated with currently existing empirical examples, we present and argue for algorithmic recommender personae as a way for people to take more control over the algorithms that curate people's news provision
Social Welfare, Risk Profiling and Fundamental Rights: The Case of SyRI in the Netherlands
This article discusses the use of automated decisioning-making (ADM) systems by public administrative bodies, particularly systems designed to combat social-welfare fraud, from a European fundamental rights law perspective. The article begins by outlining the emerging fundamental rights issues in relation to ADM systems used by public administrative bodies. Building upon this, the article critically analyses a recent landmark judgment from the Netherlands and uses this as a case study for discussion of the application of fundamental rights law to ADM systems by public authorities more generally. In the so-called SyRI judgment, the District Court of The Hague held that a controversial automated welfare-fraud detection system (SyRI), which allows the linking and analysing of data from an array of government agencies to generate fraud-risk reports on people, violated the right to private life, guaranteed under Article 8 of the European Convention on Human Rights (ECHR). The Court held that SyRI was insufficiently transparent, and contained insufficient safeguards, to protect the right to privacy, in violation of Article 8 ECHR. This was one of the first times an ADM system being used by welfare authorities has been halted on the basis of Article 8 ECHR. The article critically analyses the SyRI judgment from a fundamental rights perspective, including by examining how the Court brought principles contained in the General Data Protection Regulation within the rubric of Article 8 ECHR as well as the importance the Court attaches to the principle of transparency under Article 8 ECHR. Finally, the article discusses how the Dutch government responded to the judgment. and discusses proposed new legislation, which is arguably more invasive, with the article concluding with some lessons that can be drawn for the broader policy and legal debate on ADM systems used by public authorities
Hosting Intermediary Services and Illegal Content Online:An analysis of the scope of article 14 ECD in light of developments in the online service landscape
Conditions for technological solutions in a COVID-19 exit strategy, with particular focus on the legal and societal conditions:report for ZonMw
Conditions for technological solutions in a COVID-19 exit strategy, with particular focus on the legal and societal conditions:report for ZonMw
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