With the implementation of the Income Tax Act, 2025, India is transitioning toward a 'technology-first' tax administration. Discuss the potential of AI-driven initiatives like Project Insight in broadening the tax base and evaluate the ethical safeguards necessary to protect taxpayer rights in an era of automated enforcement.

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Introduction The Income Tax Act, 2025 signals a shift towards a ‘technology-first’ tax regime, leveraging AI-driven systems like Project Insight to enhance compliance and widen the tax base. However, automated enforcement raises concerns regarding privacy, fairness, and accountability.

Potential of AI-driven Initiatives in Broadening Tax Base

Data Integration & Analytics: Aggregates data from banks, GST, property, and digital transactions to identify non-filers and under-reporting.
Predictive Compliance: Uses risk profiling to detect tax evasion patterns and target high-risk entities.
Widening Formalisation: Tracks digital footprints, bringing informal sector participants into the tax net.
Efficiency & Cost Reduction: Minimises human discretion, reducing corruption and improving administrative efficiency.
Real-time Monitoring: Enables continuous compliance rather than periodic scrutiny.

Concerns in Automated Tax Enforcement

Algorithmic Errors & Bias: Incorrect profiling may harass honest taxpayers.
Opacity: Lack of explainability in AI decisions undermines trust.
Privacy Intrusion: Extensive data mining risks violation of informational privacy.
Due Process Risks: Automated notices without human oversight may dilute natural justice.

Ethical Safeguards for Protecting Taxpayer Rights

Transparency & Explainability: Clear disclosure of criteria used in risk assessment and automated decisions.
Human-in-the-loop: Mandatory human review in critical decisions like penalties or prosecution.
Data Protection Framework: Adherence to principles of consent, purpose limitation, and data minimisation.
Right to Appeal & Redressal: Accessible grievance mechanisms against automated actions.
Algorithmic Audits: Regular independent audits to check bias and accuracy.
Proportionality Principle: Ensuring surveillance measures are necessary and not excessive.

Conclusion AI-driven tax administration holds immense promise in improving compliance and expanding the tax base. However, embedding strong ethical safeguards is crucial to ensure that efficiency gains do not come at the cost of taxpayer rights and constitutional protections.

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