Consequences of Dirty Data

Consequences of Dirty Data

In part one of this series, Trevor highlighted how technology, particularly what he called ‘awful algorithms’, can make bad decisions with severe consequences. In this video, he looks at the 'dirty data'  that drives those decisions.
Overview

In the second part of his video series, Christian looks at the 'dirty data' that drives the decisions behind awful algorithms.

Key learning objectives:

  • What are the problems with using past data?

  • How might dirty data be a hindrance to diversity & inclusion?

  • When can AI go wrong?

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Expert
Christian Hunt

Christian Hunt

Christian is the founder of Human Risk, a Behavioural Science led Consulting and Training Firm. Previously, Christian was Managing Director at UBS, and Head of Behavioural Science (BeSci), within the Bank’s Risk function. Prior to joining UBS, he was Chief Operating Officer at the UK’s Prudential Regulation Authority.

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