The Role of Artificial Intelligence Supported Auditing in Public Expenditures: The Case of Turkish Court of Accounts

MakaleAçık Erişim
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • SDG 16 · Barış, Adalet ve Güçlü Kurumlar

Özet

Artificial intelligence (AI) offers transformative potential in public expenditure auditing, particularly in error detection, resource tracking, and enhancing accountability. This study analyzes the Turkish Court of Accounts’ 2022–2023 audit findings through an AI lens, identifying which types of errors could be addressed using algorithmic tools. From procurement irregularities to financial reporting issues, numerous findings are linked to AI techniques such as natural language processing, process mining, and anomaly detection. The study also discusses critical limitations including data quality, ethical concerns, and algorithmic explainability. Supported by international examples, it presents concrete recommendations on how AI should be positioned as a complementary tool to human auditors. It concludes that strengthening institutional capacity and digital infrastructure is essential for building a more accountable and sustainable audit system in Türkiye.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/19552Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.52836/sayistay.1793520Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorÖzdemir, Hakan
dc.contributor.authorYelboğa, Alim
dc.date.accessioned2026-10-22T10:52:15.862740913Z
dc.date.available2026-10-22T10:52:15.862740913Z
dc.date.issued2025
dc.description.abstractArtificial intelligence (AI) offers transformative potential in public expenditure auditing, particularly in error detection, resource tracking, and enhancing accountability. This study analyzes the Turkish Court of Accounts’ 2022–2023 audit findings through an AI lens, identifying which types of errors could be addressed using algorithmic tools. From procurement irregularities to financial reporting issues, numerous findings are linked to AI techniques such as natural language processing, process mining, and anomaly detection. The study also discusses critical limitations including data quality, ethical concerns, and algorithmic explainability. Supported by international examples, it presents concrete recommendations on how AI should be positioned as a complementary tool to human auditors. It concludes that strengthening institutional capacity and digital infrastructure is essential for building a more accountable and sustainable audit system in Türkiye.
dc.identifier.doi10.52836/sayistay.1793520
dc.identifier.eissn2651-351X
dc.identifier.endpage802
dc.identifier.issn1300-1981
dc.identifier.issue139
dc.identifier.startpage771
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/19552
dc.identifier.volume36
dc.language.isotr
dc.relation.ispartofSayıştay Dergisi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectKamu Yönetimi
dc.subjectBilgisayar Bilimleri, Yapay Zeka
dc.titleThe Role of Artificial Intelligence Supported Auditing in Public Expenditures: The Case of Turkish Court of Accounts
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex6
rdl.citation.trdizin5
rdl.oa.statusgold
rdl.oa.urlhttps://dergipark.org.tr/tr/download/article-file/5285187
rdl.sdgSDG16
rdl.sdgSDG09
rdl.source.indexTRDIZIN