This session will unravel the potential of Artificial Intelligence, focusing on OpenAI’s ChatGPT, in revolutionizing how we use data analytics in fraud detection. As fraud schemes become increasingly sophisticated, leveraging cutting-edge technology is imperative for staying a step ahead. This session is designed for auditors, fraud examiners, and finance professionals interested in enhancing their anti-fraud arsenal.

Whether you are a seasoned fraud fighter or a newcomer to the realm of fraud detection, this session will equip you with a fresh perspective on how AI, particularly ChatGPT, can be a game-changer in uncovering and combating fraud and serve as leapfrog technology in advance your data analytics programs.

In this session, you will learn:

• Understanding ChatGPT & AI: A brief introduction to ChatGPT and how AI technologies are shaping the fraud examination landscape.
• Anomaly Detection: Learn how AI can sift through vast datasets to identify suspicious activities and anomalies indicative of potential fraud.
• How AI can expedite data analytics programs by eliminating the need to learn a programming language.

A highly interactive session that provides participants with practical tools to identify red flags, conduct fraud risk assessments, and implement anti-fraud controls. This workshop could include group exercises, role-playing investigations, and technology-based fraud detection techniques.

When looking at entities in which fraud occurs, several common factors can be observed including an obsession with growth at any cost, selective blindness by leadership to unethical practices, lack of accountability due to complex structures, high pressure to meet financial targets, isolation of teams, use of euphemisms to downplay unethical behavior, high employee turnover and low engagement, and unaddressed conflicts of interest; all while the entities are working their hardest to maintain internal controls, governance, and a positive culture but failing. This gap between the culture that the entities are intending to create and what is actually being created produces an ecosystem in which fraudsters are fostered.

What makes this ecosystem unique is its undetectability. It slowly grows until, one day, the organization sees its results in the form of fraudulent activity. We believe that there are signs and indicators that indicate a hidden ecosystem beyond the visible culture. When an internal auditor audits the culture of an organization, he relies heavily on interviewing the employees and management, looking at turnover, violations, poor communication, and the spread of dissatisfaction. While those factors are good indicators, they will only start showing as the problem matures. Therefore, makes the audit of culture a late corrective measure rather than an early detective one.

Detecting the growth of an ecosystem that enables fraud can be done through breaking down the factors which allows a fraudster to grow. How is the organization creating an opportunity? How is the organization causing pressure? How is the organization provide the rationale?

Key takeaways:

• Shedding light over the blind spot over what the organization is working towards and what’s actually happening to the culture
• How to detect a growing fraud enable culture: humanizing the fraudster
• Folly of rewarding A while hoping for B

Investigative interviewing approaches related to fraud and other crimes are plentiful, but which technique best suits your personality and style? More importantly, which approach is right for the person being interviewed?  In this block of instruction, participants will discuss the strengths and weaknesses of 5 popular interviewing styles, how they can be deployed, and each can be leveraged to obtain the factual information you desire.

You Will Learn How To: 

• Compare/Contrast Motivational Interviewing, the PEACE Interview method, The Cognitive Interview method, The SUE interview technique, and Statement Analysis.
• Discuss the science behind each interview technique.
• Identify strengths for each interview technique.
• Identify weaknesses in each interview technique.
• Evaluate each interview technique to determine which method best fits your interviewing style.

الاتجاهات الحديثة في حوكمة الأخلاق – New Trends in Ethics Governance

تتضمن حوكمة الأخلاق الأنظمة والسياسات والممارسات المعتمدة داخل المؤسسة من الهيئة الحاكمة (Governing Body) – مجلس الإدارة/المديرين في القطاع الخاص أو الوزير في الوزارة – بهدف تعزيز السلوك الأخلاقي في جميع عمليات المؤسسة وعلاقاتها مع جميع أصحاب المصالح.
بناء على أفضل الممارسات في الحوكمة المؤسسية؛ تعتبر الهيئة الحاكمة المسؤولة الأولى عن بناء منظومة فاعلة لأخلاقيات العمل في أي مؤسسة (بغض النظر عن القطاع أو الصناعة التي تعمل بها)، ومن ثم الإشراف والرقابة عليه. وجود منظومة فاعلة لأخلاقيات العمل يعتبر الأساس لفاعلية نظم الرقابة الداخلية وإدارة المخاطر والحوكمة المؤسسية في المؤسسة.
تتضمن منظومة حوكمة الأخلاق إنشاء أطر عمل (Frameworks) وإرشادات (Guidelines) تعزز اتخاذ القرارات الأخلاقية، والنزاهة، والعدالة، والمساءلة، والمسؤولية في جميع أنحاء المؤسسة.

المحاور الرئيسية:

• علاقة أخلاقيات العمل بالحوكمة المؤسسية وإدارة المخاطر والرقابة الداخلية.
• علاقة حوكمة الأخلاق بتعارض المصالح.
• مسؤوليات الهيئة الحاكمة والإدارة التنفيذية وباقي العاملين في المؤسسة فيما يتعلق بمنظومة أخلاقيات العمل.
• مكونات منظومة حوكمة الأخلاق.
• كيفية إشراف ورقابة الهيئة الحاكمة على منظومة أخلاقيات العمل.
• مكونات التقارير الدورية عن أخلاقيات العمل.

As generative AI (GenAI) reshapes the digital landscape, fraudsters are leveraging its capabilities to perpetrate highly convincing and hard-to-detect scams. From flawless phishing emails to sophisticated deepfakes, AI-powered fraud is becoming increasingly prevalent and more difficult to combat. This session will delve into how traditional scams, like the infamous “Nigerian Prince,” have been supercharged by AI, evolving into far more sophisticated and dangerous threats. We will explore the key challenges organizations face in detecting and preventing GenAI-driven fraud, and offer strategic responses to counter these emerging threats.

Attendees will learn best practices for recognizing AI-generated fraud, including improving staff training and revisiting cybersecurity protocols. Through actionable insights and a strategic playbook, participants will be equipped with the knowledge to strengthen their defenses and stay ahead in the ever-evolving fight against AI-powered fraud.