From Algorithmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation

In Sergio Genovesi, Katharina Kaesling & Scott Robbins (eds.), Recommender Systems: Legal and Ethical Issues. Springer Verlag. pp. 31-54 (2023)
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Abstract

Algorithmic recommendations and rankings have become a key feature of the user experience offered by digital platforms. Recommender systems determine which information and options are prominently presented to users. While there is abundant technical literature on recommender systems, the topic has only recently attracted the attention of the European legislator. This chapter scrutinizes the emerging European regulatory framework for algorithmic rankings and recommendations in the platform economy with a specific focus on online retail platforms. Surveying the new rules for rankings and recommender systems in consumer contract law, unfair commercial practices law, and platform regulation, it identifies shortcomings and inconsistencies and highlights the need for coherence between the different regulatory regimes. The Digital Services Act could change the regulatory trajectory by introducing (albeit hesitantly and incompletely) a new regulatory model that shifts the focus from algorithmic transparency to algorithmic choice. More importantly, a choice-based approach to recommender governance and a market for third-party recommender systems (“RecommenderTech”) could also be facilitated by the new interoperability requirements introduced by the Digital Markets Act.

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