AI Governance Burden Grows as Enterprise Use Expands

Enterprise adoption of artificial intelligence is increasing the workload associated with AI risk and governance, with a OneTrust survey finding that four in five senior business decision-makers, including Chief Information Officers, Chief Information Security Officers and Chief Data Officers, are Read More …

Dataiku Launches Agent Management to Tackle AI Sprawl

Dataiku has launched Agent Management, a standalone platform designed to give enterprises visibility and governance across their growing portfolios of artificial intelligence agents. The move addresses what the company describes as “agent sprawl”, where employees can create AI agents faster Read More …

AI Model Risk Cannot Be Judged Only by Country of Origin

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 …

Free Preview of Certificate Course on Artificial Intelligence

Artificial Intelligence Course

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 …

Explainability Risk: What Happens When a Bank Cannot Explain an AI Decision

Explainability Risk

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 …

AI Mistakes Identified as a Major New Professional Indemnity Risk for Businesses

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 …

Vietnam Central Bank Promotes AI Adoption While Strengthening Risk Management

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 …

AI in Risk Management: Practical Applications and Key Considerations

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 …

Responsible Artificial Intelligence Governance: Innovation with Accountability

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 Launches AI Risk Assessment

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 …