How does risk assessment influence which returns are selected for audit?

• A. It uses data analytics, scoring models, and anomaly detection to flag returns with potential noncompliance for review.
• B. It randomly selects returns without any data analytics.
• C. It focuses only on high-income taxpayers.
• D. It delays audits to reduce workload.

Answer: (A)

Risk assessment in tax administration is about prioritizing which returns to audit using evidence about potential noncompliance and the value of pursuing it. It relies on data-driven tools to identify the returns most likely to hide errors or fraud, then allocates audit resources accordingly. Data analytics pull together historical filings, income patterns, deduction items, and third-party information to spot unusual or inconsistent activity. Scoring models translate these signals into risk ratings, so returns with higher scores are reviewed first. Anomaly detection looks for outliers or patterns that don’t fit normal behavior, such as large deductions relative to income or mismatches with information returns. The aim is to flag returns with the greatest potential payoff for the audit, not to treat all cases the same. This approach isn’t random, isn’t limited to a subset like high-income taxpayers, and isn’t about delaying audits to reduce workload.