AI Explainability 'an Afterthought' at Banks, But Financial Theory Infusion Could Help
Eric Tham of the National University of Singapore said during the Innovation Exchange that explainability is an afterthought at banks when they develop their AI-driven models. Unsurprisingly, some bankers did not agree.
As financial firms increasingly turn to artificial intelligence for help with decision-making, and as these tools become increasingly sophisticated, ensuring that the users understand how the AI derives its outcome is becoming more difficult. And this idea of explainability is becoming top-of-mind for regulators.
Eric Tham, a senior lecturer at the National University of Singapore, contends, however, that it’s not explainability that is the greatest challenge for financial organizations using
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@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com 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@waterstechnology.com
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@waterstechnology.com
More on Emerging Technologies
Waters Wavelength Ep. 294: Grasshopper’s James Leong
James Leong, CEO of Grasshopper, a proprietary trading firm based in Singapore, joins to discuss market reforms.
The Waters Cooler: Big Tech, big fines, big tunes
Amazon stumbles on genAI, Google gets fined more money than ever, and Eliot weighs in on the best James Bond film debate.
AI set to overhaul market data landscape by 2029, new study finds
A new report by Burton-Taylor says the intersection of advanced AI and market data has big implications for analytics, delivery, licensing, and more.
New Bloomberg study finds demand for election-related alt data
In a survey conducted with Coalition Greenwich, the data giant revealed a strong desire among asset managers, economists and analysts for more alternative data from the burgeoning prediction markets.
How ‘Bond gadgets’ make tackling data easier for regulators and traders
The IMD Wrap: Everyone loves the hype around AI, especially financial firms. And now, even regulators are getting in on the act. But first... “The name’s Bond; J-AI-mes Bond”
Waters Cooler: AI tells it like it is… or does it?
A weekly round-up of stories from us and beyond. Plus, fun Scottish facts.
Google teams up with Linklaters on GenAI contract analysis project
While the large language model is unique to Linklaters and legal documents, Google believes financial services firms will also benefit from GenAI when it comes to contract analysis.
Man Group’s head of risk engineering doesn’t trust ChatGPT for managing risk
Risk managers have a duty to know how AI is being used within their firms. At a recent event, execs from Man Group and others discussed the benefits and pitfalls of AI in risk management.
