印度新的数据驱动税收系统利用个性化手段促进合规,追回数十亿美元,并减少2026年4月法律正式化之前的错误。 India's new data-driven tax system uses personalized nudges to boost compliance, recovering billions and reducing errors ahead of legal formalization in April 2026.

印度正在实施数据驱动的税收制度,如2025-26年《经济调查》所详述的那样,利用行为“手段”促进自愿遵守。 India is implementing a data-driven tax system using behavioral "nudges" to boost voluntary compliance, as detailed in the 2025–26 Economic Survey. NUDGE框架分析实时数据,以查明错误——如夸大扣减、未报告的外国收入或错误的TDS档案——并向纳税人发出个性化警报,鼓励在强制执行前进行纠正。 The NUDGE framework analyzes real-time data to identify errors—such as inflated deductions, unreported foreign income, or incorrect TDS filings—and sends personalized alerts to taxpayers, encouraging corrections before enforcement. 这一积极主动的做法取得了重大成果:订正了8 500多份TDS回报,收回了4 825 克郎,申报外国资产29 000 克郎,并减少了2 050 克郎的虚假扣减。 This proactive approach has led to significant results: over 8,500 TDS returns revised, ₹4,825 crore recovered, ₹29,000 crore in foreign assets declared, and ₹2,050 crore in false deductions reduced. 该制度定于2026年4月之前正式正式成为法律,旨在减少诉讼,降低合规费用,并通过将指导置于惩罚之上来建立信任。 The system, set to be formalized in law by April 2026, aims to reduce litigation, lower compliance costs, and build trust by prioritizing guidance over penalties. 然而,对透明度、隐私和算法偏差风险的关切依然存在。 However, concerns remain over transparency, privacy, and the risk of algorithmic bias.