Artificial intelligence
Regulators question human-in-the-loop as AI governance tool
Bank of England and FSB executives suggest it’s more important to retain overall accountability
One to watch: CarbonAI
Energy Risk Awards 2026: Start-up uses AI to create dynamic, auditable carbon market intelligence
Addressing class imbalance in probability-of-default modeling: a comparative study of SMOTE, ensemble learning and explainable artificial intelligence
The author puts forward s a governance-aligned framework for probability of default modeling under class imbalance, combining domain-informed feature engineering, resampling, ensemble learning and explainable artificial intelligence
UBS to launch merger arb QIS
Bank partners with German asset manager First Private to screen deals using machine learning
How AI agents can join the dots for risk managers
Citi risk expert outlines agentic AI tool that would pull together structured and unstructured data on trading and lending approvals to create single, unified view of risk
Barclays built a risk framework for GenAI from scratch
Eleven teams contribute to assessing generative AI use cases in a system that includes 35 controls
Bootcamps and peer pressure: Goldman preps staff for AI future
Isda AGM: Tone from the top is not enough, says chief information officer Marco Argenti
MRM: how banks are scaling models in the age of AI
MRM capabilities are evolving to ensure compliance while helping organisations retain a competitive edge
Quants like Andrew Ang are making the case for AI agents
AI agents can boost human managers by analysing investments, risks and portfolio choices at scale
Responsible use of artificial intelligence in financial market infrastructures
The author investigates current and prospective role of AI in FMIs and develops a principled framework for the responsible use of AI based on the principles of explainability, data stewardship, governance and ethics.
Why AI-related conduct risk is reshaping the business agenda
Trust in AI-only approaches remains limited, and explainability is becoming critical to modern risk management
The rise of AI politics
AI should not be treated as just another technology, writes MAS adviser David Hardoon
AI in Apac regulatory reporting: the growing case for agentic automation
How Apac banks are tackling the regulatory reporting challenge, and what it will take to scale AI responsibly in this area
How can Apac banks harness AI for regulatory reporting?
A Q&A with Nasdaq’s Subbaiyan Vaithinathan and Uttam Albela
AI risk management and the shift to capability control
By reframing validation, banks can align innovation with regulatory demands and maintain robust risk discipline, argues risk manager
AI in Apac regulatory reporting: the growing case for agentic automation
How Apac banks are tackling the regulatory reporting challenge, and what it will take to scale AI responsibly in this area
Banks eye agentic AI to streamline KYC workflows
Execs from ING, JP Morgan and Standard Chartered tell how they plan to tap AI to optimise onboarding
In the age of GenAI, why do we still need good models?
Jean-Philippe Bouchaud says models can guide artificial intelligence through regime shifts and away from overfitting
The do-it-all machine: model risk in the age of generative AI
Banks race to understand risks posed by new breed of multi-purpose bots
Iran confusion makes the case for causal modelling
A new test model built using Claude suggests oil prices may surge back above $100
Top 10 op risks: AI upends risk taxonomies
AI risk enters annual poll in fifth, but firms split over treating it as a standalone risk or a cross-cutting driver