Explainability
How FCA could help tackle third-party risk in AI
UK regulator’s supercharged sandbox is designed to boost explainability and reduce reliance on vendors
Dutch regulator in new push on algo manipulation
AFM teams up with Oxford Uni academics to develop data models that will identify “harmful” activity in automated trading
The bank quant who wants to stop GenAI hallucinating
Wells Fargo model risk chief thinks he has found a way to validate large language models
Will generative AI crack the code for bank tech teams?
Banks could roll out tools to help translate old – or write new – code within months
Can machine learning help predict recessions? Not really
Artificial intelligence models stumble on noisy data and lack of interpretability
Generative AI is changing debate on explainability, says Deutsche
Innovation head says observability can aid regulatory acceptance
FCA warns on third-party risk management for AI projects
UK regulator keeping close eye on use of cloud and vendor partnerships to develop new models
BoE model risk rule may drive real-time monitoring of AI
New rule requires banks to rerun performance tests on models that recalibrate dynamically
Banks’ internal watchdogs bark back at ChatGPT
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
OK regulator? How AI became respectable for AML controls
Dutch court case pressures supervisors to accept new tech; explainability the key challenge
Bot’s job? Quants question AI’s model validation powers
But supervisors cautiously welcome next-gen model risk management
Scalability could trump complexity in machine learning debate
Risk USA: banks “on the precipice” of adopting more complex models, says Goldman exec
More banks flirt with machine learning for CCAR
Superior computational grunt of neural networks is attractive to lenders. Lack of explainability is the downside
Wells touts new explainability technique for AI credit models
Novel interpretability method could spur greater use of ReLU neural networks for credit scoring
Show your workings: lenders push to demystify AI models
Machine learning could help with loan decisions – but only if banks can explain how it works. And that’s not easy
EBA to consult on banks’ machine learning use
Watchdog will set out stance on ML-based capital models amid conflicting guidance from supervisors
AML models face explainability challenges
Data gaps and potential biases must be accounted for in approaches to tackling money laundering
Banks fear Fed crackdown on AI models
Dealers say agencies’ request for info could prompt new rules that stifle model innovation
Quantum computing experts voice explainability fears
Risk Live: big speed-ups for quantum-powered models could prompt bigger questions from regulators
Alt data aims to shake up credit scoring business
Young firms, using machine learning methods to scrape consumer info, challenge established agency model
No silver bullet for AI explainability
No single approach to interpreting a neural network’s outputs is perfect, so it’s better to use them all