Our research activities within MAARC cover a broad spectrum of topics and themes. Through various projects, we focus on the following key areas:

• AI in the Audit Process: Exploring how AI can revolutionize traditional audit methodologies.
• Auditing AI: Establishing best practices for AI governance and auditing.
• AI and Risk Assessment: Investigating how AI can transform traditional risk assessment methods in internal auditing.
• AI & Machine Learning for Fraud Detection: Advancing machine learning techniques to effectively detect and prevent fraud.

We employ a wide range of research methods, including case studies, experiments, surveys, and design science research. This diversity is made possible by our network of researchers, who bring experience across various methodologies and specialized areas of accounting research.

All finalized, ongoing, and future research projects share a common goal: to create meaningful contributions to both theory and practice, in line with the mission of our research center.