RBI’s FREE-AI Framework

A recent report by the Reserve Bank of India (RBI) introduced a comprehensive framework, termed FREE-AI (Framework for Responsible and Ethical Enablement of Artificial Intelligence), to govern AI usage in the financial sector.

Source: The Economic Times

What Is the RBI’s FREE-AI Framework?

The FREE-AI Framework (Framework for Responsible and Ethical Enablement of Artificial Intelligence) is a strategic initiative by the Reserve Bank of India (RBI), introduced in August 2025. It aims to guide the ethical, transparent, and inclusive deployment of AI across India’s financial sector.

Core Principles (“Seven Sutras”):

The framework is built upon seven foundational principles meant to balance innovation with ethical safeguards:

1. Trust Is the Foundation – AI systems must be reliable, transparent, and deserving of public confidence.
2. People First – Human judgment and citizen welfare must remain central in AI decisions.
3. Innovation over Restraint – Enable responsible innovation rather than restrict it.
4. Fairness & Equity – AI must operate without bias and deliver inclusive outcomes.
5. Accountability – Clear responsibility lies with those deploying AI systems.
6. Understandable by Design – AI decisions must be interpretable and traceable.
7. Safety, Resilience & Sustainability – AI should be secure, adaptable, and environmentally conscious.

Six Strategic Pillars with Actionable Recommendations

To support these principles, the framework lays out 26 actionable measures under six categories:

A. Innovation Enablement

• Infrastructure: Build shared data systems, AI sandboxes, and enable indigenous model development.
• Policy: Offer adaptive regulation, periodic reviews, and risk-based compliance.
• Capacity: Train leadership and professionals on ethical AI practices.

B. Risk Mitigation

• Governance: Mandate policies like board-level oversight, AI inventory, and product approval pathways.
• Protection: Emphasise customer protection, cybersecurity, red-teaming, and AI-incidents reporting.
• Assurance: Introduce audit frameworks, disclosures, and usable toolkits for AI governance.