Marco Schreyer
Last Name
Schreyer
First name
Marco
Email
marco.schreyer@unisg.ch
ORCID
Phone
+41 71 224 79 13
Web Site
Google Scholar
21 results
Now showing 1 - 10 of 21
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Item type:Publication, Building a Future Digital Audit Workforce - Equipping artificial intelligence agents with computer-aided audit toolsEmbedding autonomous artificial intelligence systems is no longer a distant prospect for auditing. Frameworks like the Model Context Protocol (MCP) and autonomous AI agent applications like OpenClaw provide the foundation for building an agentic audit workforce, which can extend the capabilities of human audit teams while pre-serving the independence, transparency, and scepticism that define oversight.Type:journal articleJournal:Expert FocusVolume:2026Issue:4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Graph Says More than a Thousand Journal Entries - Harnessing Graph Autoencoder Networks in Auditing(EXPERTsuisse, 2024-12-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A SUM GREATER THAN ITS PARTS: COLLECTIVE ARTIFICIAL INTELLIGENCE IN AUDITING - Advancing Audit Models through Federated Learning Without Sharing Proprietary Data(ExpertSuisse, 2024-04-10); ; ; Miklos A. VasarhelyiArtificial intelligence exhibits the potential to transform auditing by extracting insights from large volumes of audit-relevant data. This article introduces federated learning, an emerging artificial intelligence learning setting. It outlines the integration of federated learning into practical audit procedures to gather collective intelligence from various audit-relevant data sources while ensuring data privacy.Type:journal articleJournal:EXPERT FOCUS - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial Intelligence in Internal Audit as a Contribution to Effective Governance - Deep-learning enabled Detection of Anomalies in Financial Accounting DataType:journal articleJournal:Expert FocusVolume:Special: Internal AuditIssue:01 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Künstliche Intelligenz im Internal Audit als Beitrag zur Effektiven Governance - Deep-Learning basierte Detektion von Buchungsanomalien in der RevisionspraxisType:journal articleJournal:Expert FocusVolume:Special: Interne RevisionIssue:01 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial Intelligence Enabled Audit Sampling - Learning to draw representative and interpretable audit samples from large-scale journal entry data(EXPERTsuisse, 2022-03-07); ; ; Type:journal articleJournal:Expert FocusIssue:04 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stichprobenauswahl durch die Anwendung von Künstlicher Intelligenz - Lernen repräsentativer Stichproben aus Journalbuchungen in der Prüfungspraxis(EXPERTsuisse, 2022-02-07); ; ; Type:journal articleJournal:Expert FocusIssue:02 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Deep Learning für die Wirtschaftsprüfung - Eine Darstellung von Theorie, Funktionsweise und Anwendungsmöglichkeiten(C.H. Beck Vahlen Verlag, 2021-07-28); ; ; Type:journal articleJournal:Zeitschrift für Internationale Rechnungslegung (IRZ)Issue:7/8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Künstliche Intelligenz in der Prüfungspraxis - Eine Bestandsaufnahme aktueller Einsatzmöglichkeiten und Herausforderungen(Expertsuisse, 2020-09-01); ; ; Type:journal articleJournal:Expert FocusVolume:2020Issue:09 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Künstliche Intelligenz in der Wirtschaftsprüfung - Identifikation ungewöhnlicher Buchungen in der Finanzbuchhaltung(IDW Verlag, 2018-11-01); ;
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