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AI-Powered Regulators

Authors: Chenxi Li; Ningzhong Li; Qingyang Tang; Xin Zhang;

AI-Powered Regulators

Abstract

This paper investigates whether the use of AI by securities regulators in countries within the European Economic Area enhances their oversight efficiency and, in turn, the financial reporting quality of firms under their supervision. We identify regulators' AI usage through public procurement contracts. Using a difference-indifferences design, we find that AI usage improves oversight efficiency, as reflected in increases in the number for firms subject to enforcement actions, both in absolute terms and relative to the number of reviews. The improvement in oversight efficiency is similar for AI used for financial reporting oversight and for other AI applications, and it strengthens with greater AI usage. Regulators' number of employees and total employee costs do not decrease, suggesting that AI usage by regulators complements, rather than displaces, human labor. Consistent with strengthened monitoring, firms exhibit lower likelihood of accounting fraud following their regulators' adoption of AI. The deterrence effect is stronger for small firms and those with low market-to-book ratios, which were less likely to be targeted for financial reporting investigations under the traditional, non-AI regime.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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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