Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
Artificial intelligence is rapidly reshaping how organisations identify, assess, and respond to risk. From predictive analytics to real-time monitoring, AI-driven tools are enabling risk teams to process vast volumes of data at speeds that were previously unimaginable. However, the growing Read More …
As AI systems rapidly scale across sectors, organizations face rising risks-from algorithmic bias and deepfake fraud to regulatory non-compliance and intellectual property theft. Smart Online Course, in partnership with the Risk Management Association of India (RMAI) offers Online Certificate Course Read More …
NIST AI RMF: AI is transforming industries- but without responsible risk management, it can also amplify bias, harm, and non-compliance. Smart Online Course, in partnership with the Risk Management Association of India (RMAI) offers Responsible AI Risk Management using the NIST AI Read More …
A new EY analysis warns that the rapid acceleration of generative AI has outpaced current global governance frameworks, creating urgent risks for businesses, governments, and society. According to the report, AI models are increasingly making autonomous decisions at scale, yet Read More …
The global AI model risk management market is projected to reach USD 15.03 billion by 2033, growing at a CAGR of 18.8% from 2023 to 2033, according to a new report by SNS Insider. This surge is attributed to the Read More …
The Reserve Bank of India (RBI) has urged financial institutions and technology adopters to strike a balance between the rapid adoption of Artificial Intelligence (AI) and robust risk management practices. While acknowledging the transformative potential of AI in improving operational Read More …
Finance Minister Nirmala Sitharaman has called on fintech companies to enhance their risk management frameworks to prevent the misuse of artificial intelligence (AI). Speaking at the Global Fintech Fest, she emphasized the need for responsible AI deployment, particularly in financial Read More …
Executive Summary This case study examines a major challenge faced by a global hiring platform that utilized Artificial Intelligence (AI) and Machine Learning (ML) algorithms for candidate screening and recruitment. The algorithms, designed to automate and enhance hiring efficiency, were Read More …