Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
The country where an artificial intelligence (AI) model is developed provides limited insight into its actual risk profile, according to analysis highlighting the need for stronger AI governance, transparency and model evaluation frameworks. As organisations increasingly adopt AI systems, assessing Read More …
Artificial Intelligence is increasingly influencing how professionals work, analyse information, automate tasks, support decisions and identify new business opportunities across industries. Understanding Artificial Intelligence is therefore becoming valuable not only for technology professionals but also for managers, business professionals, entrepreneurs, Read More …
A customer is denied a loan. A transaction is flagged and frozen for suspected fraud. A credit card application is silently declined. In each of these cases, the decision was made, at least in part, by an AI system, and Read More …
The growing adoption of artificial intelligence (AI) across business operations is creating a new category of professional indemnity (PI) risks, as organisations face potential liabilities arising from inaccurate AI outputs, automated decisions and failures in AI governance. Businesses are increasingly Read More …
The State Bank of Vietnam (SBV) is encouraging banks and financial institutions to accelerate the adoption of artificial intelligence (AI) while emphasising the need for stronger risk management frameworks to ensure safe and responsible implementation. The approach reflects the growing Read More …
Artificial intelligence (AI) is increasingly transforming the risk management function by enabling organisations to identify threats earlier, analyse complex data patterns and make more informed decisions. As risks become more interconnected and dynamic, AI-powered tools are helping risk professionals move Read More …
Artificial intelligence is moving rapidly from experimentation to enterprise-wide adoption. Across banking, insurance, financial services and other industries, organisations are using artificial intelligence to assess creditworthiness, detect fraud, automate customer service, improve underwriting, monitor transactions and support strategic decisions. These Read More …
Sentient Index Labs & Technology has launched the Sentience Evaluation Battery, an independent behavioural risk assessment designed to examine how artificial intelligence systems respond under adversarial pressure. Unlike conventional benchmarks that primarily measure model capabilities, the assessment evaluates behavioural characteristics Read More …
Aligned to RBI’s Draft Guidance on Regulatory Principles for Model Risk Management (June 2026) and the FREE-AI Framework (August 2025) Background The adoption of Artificial Intelligence, Machine Learning, and automated decision systems across the Indian financial sector has fundamentally changed Read More …
A Hybrid Capability-Building Programme for Banks, NBFCs & Regulated Financial Institutions Self-Paced Online Courses + Live Faculty-Led Immersion + Dual Certification under BFSI Sector Skill Council of India & RMAI Executive Summary Artificial intelligence is moving from experimentation to expectation Read More …