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RBI committee unveils Framework for Responsible and Ethical Enablement of Artificial Intelligence (FREE-AI) to balance innovation with risk management in financial services. 

About FREE-AI Vision

Foundational principles for AI adoption
  • Aim: Ensuring safe, fair and accountable AI adoption in India’s financial sector
  • 7 Sutras: Foundational principles for AI adoption (refer to the infographics)
  • Dual Approach: 
    • Fostering Innovation
      • Shared infrastructure for democratized data and compute access, which may be integrated with the AI Kosh established under the IndiaAI Mission.
      • AI Innovation Sandbox for testing and Indigenous financial AI models
      • Create AI policy for regulatory guidance
      • Institutional capacity building (boards and workforce)
      • Relaxed compliance for low-risk AI solutions to facilitate inclusion and other priorities
    • Mitigating Risk: 
      • Board-approved AI policies by Regulated Entities
      • Inclusion of AI-related aspects in product approval processes, consumer protection frameworks and audits 
      • Strengthened cybersecurity and incident reporting
      • Robust AI lifecycle governance
      • Consumer awareness when they interact with AI

Why FREE-AI Vision Matters?

  • AI's Growing Impact: The financial sector's AI investment is projected to reach:
    • ₹8 lakh crore ($97 billion) by 2027 across banking, insurance, capital markets, and payments
    • ₹1.02 lakh crore ($12 billion) by 2033 for GenAI alone, growing at 28-34% annually
  • Emerging Complex Risks: AI introduces data privacy, algorithmic bias, market manipulation, cybersecurity vulnerabilities, and governance failures that traditional risk frameworks struggle to address.
    • These risks could undermine market integrity, erode consumer trust, and create systemic vulnerabilities without proper management.
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