Artificial Intelligence-Enabled Accounting Information Systems and Fraud Detection in Nigeria's Financial Services Sector: The Moderating Role of Natural Language Processing
arXiv:2607.01257v1 Announce Type: cross Abstract: The rapid digitalisation of financial systems has improved operational efficiency and financial inclusion while simultaneously increasing exposure to sophisticated forms of cyber-enabled fraud and electronic financial misconduct. Conventional auditing systems, which largely depend on retrospective verification and rule-based monitoring, increasingly struggle to address the complexity and speed of modern financial crime. Consequently, financial institutions are progressively adopting Artificial Intelligence (AI)-enabled Accounting Information Sy
The rapid digitalization of financial systems globally, coupled with the increasing sophistication of cyber-enabled fraud, necessitates the adoption of advanced AI solutions for detection.
This development highlights the critical role of AI, particularly NLP, in safeguarding financial integrity and operational efficiency against modern cyber threats, moving beyond traditional auditing methods.
Accounting Information Systems are transforming from retrospective, rule-based monitoring to proactive, AI-driven fraud detection, significantly enhancing financial institutions' security posture.
- · Financial institutions adopting AI
- · AI/NLP technology providers
- · Consumers (due to reduced fraud)
- · Regulatory bodies (enhanced oversight tools)
- · Fraudsters/cyber criminals
- · Traditional auditing firms slow to adapt
- · Financial institutions without AI investment
Increased adoption of AI-enabled Accounting Information Systems across the financial services sector to combat fraud.
A new competitive landscape among financial institutions, favoring those with superior AI capabilities in risk management.
Potential for new regulatory frameworks and industry standards specifically for AI ethics and robustness in financial fraud detection.
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Read at arXiv cs.AI