Keeping Machine Learning Algorithms Humble and Honest

Today in so many industries, from manufacturing and life sciences to financial services and retail, we rely on algorithms to conduct large-scale machine learning analyses.

They are hugely useful for problem-solving and beneficial for augmenting human expertise within an organization. But they are now under the spotlight for many reasons – and regulation is on the horizon. Gartner projects that four of the G7 countries will establish dedicated associations to oversee artificial intelligence and ML design by 2023.

It remains vital that we understand algorithms’ reasoning and decision-making processes at every step.

Algorithms need to be fully transparent in their decisions, easily validated…(Read the full article in Innovation Enterprise)


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