Systematic manager puts up guardrails for AI

Boston-based Acadian aims to limit risks from complex, machine learning algorithms

Boston algo

As quantitative investors delve into ever more cutting-edge artificial intelligence technologies, one of the world’s largest quant shops is erecting guardrails around the use of AI to avoid getting stung if the algorithms malfunction.  

Seth Weingram, director of client advisory at Boston-based Acadian Asset Management, says the “history of failed applications” of AI in quant investing is only likely to worsen as buy-side firms are lured by the power of deep learning neural networks and other

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 copy this content. Please contact info@risk.net to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

If you already have an account, please sign in here.

Register

Want to know what’s included in our free registration? Click here

This address will be used to create your account

Asset-liability management: Special report 2023

There is nothing new about the dynamics behind the asset-liability management (ALM) banking crisis of earlier this year: maturity transformation, liquidity risk and interest rate risk are at the heart of the traditional banking business model. But these…

Chartis RiskTech Buyside50

The second annual RiskTech Buyside50 ranking from Chartis Research outlines notable trends in the buy side and ranks the key players operating within it, focusing on solutions, industry segments and the scope and breadth of investment lifecycle…

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here