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Law and the Emerging Political Economy of Algorithmic Audits

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arxiv 2406.11855 v1 pith:O7JYQQXM submitted 2024-04-03 cs.CY cs.AI

classification cs.CYcs.AI
keywords algorithmicauditingauditorsemerginglikelypoliticaltraditionaldevelop
verification ladder T0 review T1 audit T2 compute T3 formal
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For almost a decade now, scholarship in and beyond the ACM FAccT community has been focusing on novel and innovative ways and methodologies to audit the functioning of algorithmic systems. Over the years, this research idea and technical project has matured enough to become a regulatory mandate. Today, the Digital Services Act (DSA) and the Online Safety Act (OSA) have established the framework within which technology corporations and (traditional) auditors will develop the `practice' of algorithmic auditing thereby presaging how this `ecosystem' will develop. In this paper, we systematically review the auditing provisions in the DSA and the OSA in light of observations from the emerging industry of algorithmic auditing. Who is likely to occupy this space? What are some political and ethical tensions that are likely to arise? How are the mandates of `independent auditing' or `the evaluation of the societal context of an algorithmic function' likely to play out in practice? By shaping the picture of the emerging political economy of algorithmic auditing, we draw attention to strategies and cultures of traditional auditors that risk eroding important regulatory pillars of the DSA and the OSA. Importantly, we warn that ambitious research ideas and technical projects of/for algorithmic auditing may end up crashed by the standardising grip of traditional auditors and/or diluted within a complex web of (sub-)contractual arrangements, diverse portfolios, and tight timelines.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From Reports to Reality: Testing Consistency in Instagram's Digital Services Act Compliance Data

    cs.CY 2025-07 conditional novelty 5.0 of 10

    An analysis of Instagram's DSA filings finds major arithmetic, cross-mechanism, and historical inconsistencies that undermine the reliability of its compliance reporting.

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