data science

data science

Addressing bias in AI needs Explainability; you can’t fix what you can’t see

Stuart Battersby

April 14, 2020

Contemporary machine learning systems are different from traditional rules-based systems. With these traditional systems a series of rules were written that matched up with the desired operation of the system. In machine learning, the system learns how to make decisions from the data that is presented to it. Whilst this has many advantages, a very […]

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Enterprise XAI: Ensuring success within an Enterprise environment

Stuart Battersby

March 31, 2020

Explainability within Enterprise AI is critical, whether this is to comply with regulation such as the GDPR, for auditing your AI systems, for feeding back to customers, for getting buy-in from internal teams and boardrooms or actioning on the decisions made by the AI. This message is becoming very apparent, but how does this high-level […]

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