SAI Chile Offers Roadmap for Implementing Machine Learning in Auditing Activities

The representative of the SAI Chile, Ms. Tiare Rivera, offers the supreme audit institutions a roadmap for implementing advanced data processing technologies using machine learning. She wrote an article in the International Journal of Governmental Audit.

In order for a SAI to integrate and successfully apply advanced data processing technologies, such as machine learning, it is necessary to:

• Develop a clear strategy with a focus on data and technology
• Invest in the technologies and tools needed to collect, store and analyze large amounts of data
• Nurture qualified experts
• Encourage data-driven decision-making
• Develop partnerships with other organizations
• Create algorithms and data models.

According to the author, one of the key advantages of implementing machine learning is the ability to quickly and accurately analyze large amounts of data and identify patterns and trends that may not be obvious to the inspector.

SAIs will be able to identify potential cases of fraud or poor financial management and make better informed decisions during the audit.