Understanding AI bias for technical leaders

As a leader, how do you ensure that your technology minimises the risk of bias in your AI? Andy, as an experienced CTO, technical architect and leader is giving his perspective on bias in AI.

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Sources of unintended bias in training data

Cristina's amazing article in Towards Data Science: Using synthetic data to exemplify potential sources of bias, practical examples unveiling sources of unintended bias using synthetic data

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Beating the bias in AI

Organisations are implementing machine learning algorithms which too often rely on inaccurate training models. This leads to bad outputs and bad decisions - for business and society. An excellent article on bias and ETIQ by Iris in foundry4.

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What can we do within our control to make a difference?

Systemic inequality is as present as ever. Be it in the US, or around the world, some of society’s underlying biases are more visible now and feature prominently in the news.
Other biases are still not as visible. Whether it's in policing and sentencing, recruitment or financial products, people's lives are impacted by automated decisions on a daily basis..

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