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The place of content ranking algorithms on the AI risk spectrum

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  • Bayer, Judit

Abstract

This article discusses how content ranking algorithms are positioned within the AI Act. It seeks an answer the quesetion whether content ranking algorithms could count as high-risk systems under the Act? It examines the possibility of later inclusion into the list of high-risk systems by Commission action. Then, it compares the envisioned obligations of high-risk systems with those provided by the Digital Services Act. The article puts forward arguments that content ranking algorithms should be subjected to strict ethical requirements due to their impact on the democratic public discourse, and therefore indirectly, democracy.

Suggested Citation

  • Bayer, Judit, 2024. "The place of content ranking algorithms on the AI risk spectrum," Telecommunications Policy, Elsevier, vol. 48(5).
    • Handle: RePEc:eee:telpol:v:48:y:2024:i:5:s0308596124000387
    DOI: 10.1016/j.telpol.2024.102741
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    References listed on IDEAS

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    1. Judit Bayer & Natalija Bitiukova & Petra Bard & Judit Szakács & Alberto Alemanno & Erik Uszkiewicz, 2019. "Disinformation and Propaganda – Impact on the Functioning of the Rule of Law in the EU and its Member States," Working Papers hal-02896099, HAL.
    2. Gryz, Jarek & Rojszczak, Marcin, 2021. "Black box algorithms and the rights of individuals: No easy solution to the "explainability" problem," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(2), pages 1-24.
    3. Brendan Nyhan & Jaime Settle & Emily Thorson & Magdalena Wojcieszak & Pablo Barberá & Annie Y. Chen & Hunt Allcott & Taylor Brown & Adriana Crespo-Tenorio & Drew Dimmery & Deen Freelon & Matthew Gentz, 2023. "Like-minded sources on Facebook are prevalent but not polarizing," Nature, Nature, vol. 620(7972), pages 137-144, August.
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