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Making Audits Meaningful – Overseeing the Use of AI in Content Moderation

Authors: Bloch-Wehba, Hannah; Fernandez, Angelica; Morar, David;

Making Audits Meaningful – Overseeing the Use of AI in Content Moderation

Abstract

While platforms use increasingly sophisticated technology to make content-related decisions that affect public discourse, firms are tight-lipped about exactly how the technologies of content moderation function. The laconic nature of industry disclosure relating to their use of algorithmic content moderation is thoroughly unacceptable, considering that regulators need to understand the platform ecosystem in order to design evidence-based regulations and monitor risks associated with the use of AI in content moderation. This white paper sets out to explain how and why audits, a specific type of transparency measure, should be mandated by law within the four clear principles of independence, access, publicity, and resources. We go on to unpack the types of transparency, and then contextualize audits in this framework while also describing risks and benefits. The white paper concludes with the explanation of the four principles, as they are derived from the previous sections.

Country
Luxembourg
Keywords

transparency, : Droit européen & international [E05] [Droit, criminologie & sciences politiques], Audits, accountability, AI, platform governance, Content Moderation, algorithmic content moderation, : European & international law [E05] [Law, criminology & political science], algorithmic auditing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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