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.
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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Christian Hunt
16:09
15:20
15:25
09:39
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