Artificial intelligence (AI) has become one of the fastest-growing priorities for many companies in the digital era and, consequently, will have a wide-ranging impact on businesses across the globe. This post, part of an emerging technology series from the Anti-Fraud Collaboration, examines the implications of AI and one of its most commonly known applications—machine learning—when it comes to mitigating fraud risk.
Given the unique impact of financial statement frauds and relevance to companies, auditors, and investors, the Anti-Fraud Collaboration undertook a study to classify common financial statement fraud schemes based on an analysis of SEC enforcement actions involving accounting or auditing issues where the SEC has issued an Accounting and Auditing Enforcement Release.
This Anti-Fraud Collaboration webcast provides practical insights into using skepticism to mitigate fraud risk. A panel comprised of financial reporting supply chain members provides practical insights into how to enhance skepticism while overcoming biases, managing the risks of emerging technologies, and emerging from a crisis.
This free webcast, hosted by the Anti-Fraud Collaboration, promotes the importance of skepticism and how it can be critical in detecting fraud or error during the financial reporting process. A panel comprised of financial reporting supply chain members provides practical insights into how to enhance skepticism while overcoming biases, managing the risks of emerging technologies, and emerging from a crisis. Hear from an expert panel, who will share actionable insights into enhancing skepticism:
Read the Anti-Fraud Collaboration’s complementary report on Skepticism in Practice.