Consequences of Dirty Data

Consequences of Dirty Data

Christian Hunt

25 years: Behavioural science & compliance

In part one of this series, Christian 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.

In part one of this series, Christian 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.

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Consequences of Dirty Data

9 mins 37 secs

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:

  • Understand the problems with using past data

  • Understand how dirty data might be a hindrance to diversity and inclusion

  • Understand when AI can go wrong

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This video is now available for free. It is also part of a premium, accredited video course. Sign up for a 14-day free trial to watch more.

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