banks and financial institutions

AI (Adverse Inferences): AI Lending Models may show unconscious bias, according to Report.

Aug 30 2019

We live in an era where the adoption and use of Artificial Intelligence (AI) is at the forefront of business advancement and social progression. Facial recognition technology software is used or is being piloted to be used across a variety of government sectors, whilst voice recognition assistants are becoming the norm both in personal and business contexts. However, as we have blogged previously on, the AI ‘bandwagon’ inherently comes with legitimate concerns.

This is no different in the banking world. The use of AI-based phishing detection applications has strengthened cybersecurity safeguards for financial institutions, whilst the use of “Robo-Advisers” and voice and language processors has facilitated efficiency by increasing the pace of transactions and reducing service times. However, this appears to sound too good to be true, as according to a Report by CIO Drive, algorithmic lending models may show an unconscious bias.

Government Regulation, Legislation and Enforcement Updates

Feb 01 2015

by Jim Bulling and Julia Baldi

China Introduces new Cybersecurity Laws
China introduced new cybersecurity laws, which require both local and foreign banks and financial institutions with Chinese clients (including Australian financial institutions) to use IT equipment deemed “secure and controllable” by Beijing. The breadth of the laws has upset foreign financial institutions given the potential cost of compliance if foreign entities must implement IT equipment systems in accordance with Chinese directives.

See the Financial Times report here.

Tag:banks and financial institutions