Artificial intelligence is transforming how fraud is committed, detected, investigated, and explained, but it is also reshaping the ethical responsibilities of fraud examiners, auditors, and forensic accountants. As organizations adopt AI-enabled tools for analytics, risk assessment, and decision support, professionals must confront new questions about accountability, bias, professional judgment, and the limits of automation.
This program explores how ethical reasoning must evolve alongside technological capability. Participants will examine how AI changes the nature of fraud risk, alters the dynamics of professional skepticism, and introduces new governance challenges in assurance and investigative contexts. Through case-based analysis and practical frameworks, the session highlights how professionals can maintain integrity, transparency, and trust while leveraging advanced analytics and intelligent systems.
The discussion emphasizes the human dimension of fraud work - including ethical decision-making under uncertainty, the psychology of reliance on technology, and the communication challenges associated with AI-informed conclusions. Participants will gain insight into how ethical leadership and critical thinking will define the future credibility of the fraud and assurance professions.
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