Computer Scientists Wield Artificial Intelligence to Battle Tax Evasion

Business Day By LYNNLEY BROWNING October 9, 2015 When federal authorities want to ferret out abusive tax shelters, they send an army of forensic accountants, auditors and lawyers to burrow into suspicious tax returns. Analyzing mountains of filings and tracing money flows through far-flung subsidiaries is notoriously difficult; even if the Internal Revenue Service manages to unravel a major scheme, it typically does so only years after its emergence, by which point a fresh dodge has often already replaced it. But what if that needle-in-a-haystack quest could be done routinely, and quickly, by a computer? Could the federal tax laws — 74,608 pages of legal gray areas and welters of credits, deductions and exemptions — be accurately rendered in an algorithm? New academic research seeks to use artificial intelligence to combat tax…


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