In a recent interview with Il Sole 24 Ore , the new commander of the Guardia di Finanza, Andrea De Gennaro, explained how artificial intelligence (AI) is used by the GdF to counter economic crimes through data processing. The new number one of Guardia di Finanza he explained his vision for the organization during his tenure, which revolves around increasing GDP, safeguarding a healthy economy, and supporting struggling businesses and citizens. In order for the objectives to be achieved, it will be of primary importance to preserve the integrity of the market and competition, to combat tax evasion, corruption and the misuse of funds destined to promote a sustainable economic recovery.
Artificial intelligence: a tool that will allow the reduction of the tax gap
It is in pursuit of these goals that De Gennaro emphasizes the usefulness of cutting-edge technologies, especially artificial intelligence. Taking advantage of AI will allow you to reduce the tax gap encouraging voluntary compliance by taxpayers and focusing control activities on entities presenting greater tax risks, with minimal impact on citizens and businesses.
Harnessing the power of AI, the Guardia di Finanza aims to streamline its operations and improve its ability to identify patterns, detect anomalies and efficiently process large amounts of financial data. The implementation of artificial intelligence algorithms e machine learning techniques it will enable more effective risk assessment and predictive analytics, enabling authorities to proactively intervene and prevent economic malpractice.
A weapon against corruption
By analyzing different data sources, including financial transactions, public records, and fingerprints, the artificial intelligence algorithms they can identify suspicious models and report possible cases of tax evasion. This proactive approach not only strengthens revenue collection, but also ensures a level playing field for all taxpayers.
In addition, the AI can enhance the Guardia di Finanza's ability fight corruption identifying complex networks of illicit financial activities. By cross-referencing data and monitoring transactions, AI algorithms can uncover hidden connections and patterns that would be difficult to detect using traditional investigative methods alone. This strengthens the institution's ability to identify and prosecute corrupt individuals and organizations, thereby promoting a more corporate environment transparent and accountable.
