How the IRS Is Using AI to Target High-Risk Tax Returns?
The IRS is actively integrating artificial intelligence and machine learning into its audit selection system. This marks a clear move away from traditional methods that relied heavily on outdated statistical models and manual reviews. Those earlier systems often produced high “no-change” audit rates, where audits resulted in no additional tax liability. With an estimated $688 billion annual tax gap, the IRS is now focusing on precision-driven enforcement. Reports from the Treasury Inspector General for Tax Administration highlight that while AI models show strong potential, they still require better feedback loops, evaluation systems, and ensemble learning to reach full efficiency. High-income individuals, large partnerships, and corporations are expected to face increased scrutiny under this evolving system. How AI Is Transforming Audit Selection? The IRS now uses advanced AI models across multiple taxpayer categories. These systems focus on pattern recognition and relational an...