AI-based removal of hate speech from digital social networks: chances and risks for freedom of expression

Abstract Given the enormous number of posts, major digital social networks, such as Facebook, must rely on artificial intelligence (AI) systems to regulate hate speech. This article explores the risks for free speech that the automated deletion of posts entails and discusses how AI systems can be subjected to human control. In a first step, the article examines the relevance of the individual right to freedom of expression for privately operated Internet platforms. It then highlights the specific risks that arise when AI systems are entrusted with the task of identifying and removing hate speech. The recently passed EU AI Act represents the most ambitious attempt to date to regulate high-risk AI applications. The article examines whether and, if so, to what extent the various forms of human oversight mentioned in the EU AI Act are feasible in the area of hate speech regulation. Three core theses are put forward: First, the deletion of hate speech by AI systems constitutes a high-risk application that requires an extension of the regulatory scope of the EU AI Act. Second, ex-post monitoring is the only feasible kind of human supervision but fails to guarantee full protection of the individual right to freedom of expression. Third, despite this shortcoming, the implementing of ex-post monitoring is necessary and legitimate to curb hate speech on digital social networks.

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Publication Details

Journal
AI and Ethics
Published
2024-11-21
DOI
https://doi.org/10.1007/s43681-024-00610-7
Citations
3
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
1.04

Funders

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article

AI-based removal of hate speech from digital social networks: chances and risks for freedom of expression

Frank Dietrich
3 citations
AI and Ethics
Hate Speech and Cyberbullying Detection
1.04
article

AI-based removal of hate speech from digital social networks: chances and risks for freedom of expression

Frank Dietrich
article en
3 citations

Abstract

Abstract Given the enormous number of posts, major digital social networks, such as Facebook, must rely on artificial intelligence (AI) systems to regulate hate speech. This article explores the risks for free speech that the automated deletion of posts entails and discusses how AI systems can be subjected to human control. In a first step, the article examines the relevance of the individual right to freedom of expression for privately operated Internet platforms. It then highlights the specific risks that arise when AI systems are entrusted with the task of identifying and removing hate speech. The recently passed EU AI Act represents the most ambitious attempt to date to regulate high-risk AI applications. The article examines whether and, if so, to what extent the various forms of human oversight mentioned in the EU AI Act are feasible in the area of hate speech regulation. Three core theses are put forward: First, the deletion of hate speech by AI systems constitutes a high-risk application that requires an extension of the regulatory scope of the EU AI Act. Second, ex-post monitoring is the only feasible kind of human supervision but fails to guarantee full protection of the individual right to freedom of expression. Third, despite this shortcoming, the implementing of ex-post monitoring is necessary and legitimate to curb hate speech on digital social networks.

AI and EthicsVol. 5(3)
Heinrich Heine University Düsseldorf (DE)
Heinrich-Heine-Universität Düsseldorf
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Hate Speech and Cyberbullying Detection
1.04
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AI-based removal of hate speech from digital social networks: chances and risks for freedom of expression — Frank Dietrich · AI and Ethics (2024) | TGRS Research Map | TGRS