AI in Fraud Analytics and Audit: Probabilistic Machines in Deterministic Systems - an ACFE Aligned Perspective
Alessio Faccia Overview:
This webinar examines how artificial intelligence interacts with deterministic audit systems in fraud analytics. It addresses risks, governance, and ACFE-aligned practices for incorporating machine learning tools into fraud detection and prevention. Participants will gain clarity on where AI enhances audit quality and where it introduces new vulnerabilities.
Why you should Attend:
Without understanding how probabilistic AI impacts fraud detection, organisations risk false positives, overlooked fraud, and regulatory non-compliance. Blind reliance on AI models increases uncertainty in audit processes and weakens credibility with stakeholders.
Areas Covered in the Session:
- Deterministic vs. probabilistic systems in fraud detection
- AI applications in forensic accounting and audit
- Governance and compliance alignment with ACFE standards
- Risks of over-reliance on machine learning models
- Case references in fraud prevention and detection
- Practical frameworks for integrating AI into audit workflows
Who Will Benefit:
- Internal Auditors
- Forensic Accountants
- Compliance Officers
- Fraud Examiners
- Risk Managers
- CFOs and Financial Controllers
Speaker Profile
Dr Alessio Faccia is an Auditor, Chartered Accountant, CFO, Advisor, and Corporate Trainer with more than 20 years of professional practice and 15 years of academic teaching. He is Assistant Professor in Finance at the University of Birmingham, Dubai Campus, and author of several books including AI in Fraud Analytics and Audit: Probabilistic Machines in Deterministic Systems. His expertise covers fraud examination, AI in finance, corporate governance, and forensic accounting. He has trained executives at central banks, ministries, and corporates across Europe, the Middle East, and Africa, and is a member of ACFE, ACAMS, ISACA, and other leading professional bodies