Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks

In this article the authors explore the matching between the theory and practice of trust in audit and trustworthiness of Artificial Intelligence (AI). While AI does not have a theory of its own, it is an instrument that contributes to theory testing and has conceptual lenses of its own. The curren...

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Main Authors: Cătălin Paul PĂCURARU-IONESCU, Răzvan HOINARU
Format: Article
Language:English
Published: Editura ASE 2024-07-01
Series:Revista de Management Comparat International
Subjects:
Online Access:https://www.rmci.ase.ro/no25vol3/05.pdf
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author Cătălin Paul PĂCURARU-IONESCU
Răzvan HOINARU
author_facet Cătălin Paul PĂCURARU-IONESCU
Răzvan HOINARU
author_sort Cătălin Paul PĂCURARU-IONESCU
collection DOAJ
description In this article the authors explore the matching between the theory and practice of trust in audit and trustworthiness of Artificial Intelligence (AI). While AI does not have a theory of its own, it is an instrument that contributes to theory testing and has conceptual lenses of its own. The currently existing narrow AI has its limits in connecting to audit services. Document processing, data collection and structuring are among the possible functions, however, human supervision is needed as much as professional judgement. The effects of using AI in auditing practice are not clear yet and how reputational risk and independence are affected will be explored. Also, uncertainty dominates the cost benefits analysis in using AI powered technology and services in audits. There is a supply and demand of services in audit and advancements that go hand in hand with regulation of safety, consumer protection and sustainability. Both AI behaviour and audit practice are a matter of socially constructed functions where peer to peer review plays a great role in markets in terms of reputational risks and independence.
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spelling doaj-art-de787718bc8a4fa4b65c7df4208431da2025-08-20T01:52:37ZengEditura ASERevista de Management Comparat International1582-34582601-09682024-07-0125348849810.24818/RMCI.2024.3.488Trustworthy AI and Trust in Audit: between Prudence and Reputational RisksCătălin Paul PĂCURARU-IONESCU0Răzvan HOINARU1Bucharest University of Economic Studies, RomaniaBucharest University of Economic Studies, Romania; National Standardisation Body of RomaniaIn this article the authors explore the matching between the theory and practice of trust in audit and trustworthiness of Artificial Intelligence (AI). While AI does not have a theory of its own, it is an instrument that contributes to theory testing and has conceptual lenses of its own. The currently existing narrow AI has its limits in connecting to audit services. Document processing, data collection and structuring are among the possible functions, however, human supervision is needed as much as professional judgement. The effects of using AI in auditing practice are not clear yet and how reputational risk and independence are affected will be explored. Also, uncertainty dominates the cost benefits analysis in using AI powered technology and services in audits. There is a supply and demand of services in audit and advancements that go hand in hand with regulation of safety, consumer protection and sustainability. Both AI behaviour and audit practice are a matter of socially constructed functions where peer to peer review plays a great role in markets in terms of reputational risks and independence.https://www.rmci.ase.ro/no25vol3/05.pdfartificial intelligencefintechaudit trustreputational risk
spellingShingle Cătălin Paul PĂCURARU-IONESCU
Răzvan HOINARU
Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks
Revista de Management Comparat International
artificial intelligence
fintech
audit trust
reputational risk
title Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks
title_full Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks
title_fullStr Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks
title_full_unstemmed Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks
title_short Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks
title_sort trustworthy ai and trust in audit between prudence and reputational risks
topic artificial intelligence
fintech
audit trust
reputational risk
url https://www.rmci.ase.ro/no25vol3/05.pdf
work_keys_str_mv AT catalinpaulpacuraruionescu trustworthyaiandtrustinauditbetweenprudenceandreputationalrisks
AT razvanhoinaru trustworthyaiandtrustinauditbetweenprudenceandreputationalrisks