Model risk chiefs warn on machine learning bias
ML model outputs open to “potential bias sitting in your datasets”, says RBS model risk head
Banks’ rapid adoption of machine learning techniques to augment the modelling of everything from credit card approvals to suspicious transactions has left model managers scrambling to make sure their risk frameworks can accommodate them, senior executives are warning.
Banks hope models that make use of machine learning (ML) – a subset of artificial intelligence that relies on automation to create
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Risk management
Why better climate data doesn’t always mean better decision-making
Risk Benchmarking research finds model and systems integration challenges almost as limiting to effective climate risk management
CanDeal looks to simplify third-party risk management
Six-bank vendor due diligence utility seeks international reach
Market players warn against European repo clearing mandate
Regulators urged to await outcome of US mandate and be wary of risks to government bond liquidity
Italy’s spread problem is not (always) a credit story
Occasional doubts over Italy’s role in the monetary union adds political risk premium, argues economist
Esma won’t soften regulatory expectations for cloud and AI
CCP supervisory chair signals heightened scrutiny of third-party risk and operational resilience
AI spend in US could be good for bonds in Europe – finance chiefs
Development of AI is capital-intensive, but adoption less so, which could favour EU
Climate risk managers’ top challenge: a dearth of data
Risk Benchmarking: Banks see client engagement and lender data pooling as solutions to climate blind spots – but few expect it to happen soon
BPI says SR 11-7 should go; bank model risk chiefs say ‘no’
Lobby group wants US guidance repealed; practitioners want consistent model supervision and audit
