Explainable AI in Credit Scoring

Explainable AI in Credit Scoring

Credit scoring and the wider credit risk assessment within financial institutions and banks is on the brink of next big leap namely implementing end-to-end fully automated machine learning profiling and credit scoring process. EU GDPR and later UK GDPR introduced so called “right to explanation” which prescribes that any negative decision which have legal or similar effect on customers should have an option to be explained by a human if asked. The problem industry faces that these highly accurate machine learning models are not interpretable in the ordinary way. This talk would shed some light on inner working of one of this black-boxes called XGBoost.

Speaker Max Bass - FinTech enthusiast and generalist who worked for a number of years in the banking industry.
----------------------

This is a hybrid event, and we welcome in-person attendees to join us from 6pm for pizza, drinks, and networking. Online attendees can join from 6.15pm, with presentations starting at 6.30pm.

If you wish to attend online, please book a place AND email info@codethecity.org to confirm and a link will be sent to you.

Please note our policy for reducing the spread of infectious diseases.
------------------------------

The Aberdeen Meet-ups are hosted by Code The City and are supported by The Data Lab, Scotland IS and Opportunity North East.

Photo - an upscaled version using AI Image Upscaler of Dollar Savings Bank, CC BY-SA 3.0 US , via Wikimedia Commons