AI and Emerging Technologies for Ethical Governance TRENDS IN AI & ML

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Developed in collaboration with the State Bank of India, this report provides a structured view of how organisations can transition from reactive risk management to predictive and preventive vigilance enabled by AI and ML. It outlines governance frameworks, model oversight practices, and implementation considerations relevant for institutions operating in regulated and compliance-focused environments.

Key Areas Focused

• Evolution of AI and ML and their applicability in institutional and governance contexts
• Frameworks for Responsible AI Deployment, including explainability, fairness, auditability, and security
• Proactive Fraud and Risk Identification through data-driven monitoring and early-warning indicators
• Enterprise Data and Model Lifecycle Management to support scalable and controlled AI deployment
• Sector-Specific Use Cases across BFSI, energy, healthcare, manufacturing, and public services
• SBI’s AI and Analytics Journey, covering operational models, governance structures, and lessons learned

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