Assessing the business risk of AI bias

Having said that, however, she’s not concerned about the AI ​​solutions that Ellevio uses today.

“We use AI primarily to write code faster and better, so I’m not worried about that,” she says. “After the code is developed, it’s also reviewed. Machine learning is mainly used for things of a technical nature, to be able to make predictive analyses.”

However, she has encountered problems when it comes to obtaining relevant training data to predict energy load when the cold is at its most severe.

“It’s a challenge because the occasions with such cold are so rare that there is simply not much to train on,” she says.

Consider the consequences

Göran Kördel, CIO at Swedish metals company Boliden, agrees it’s vital to understand the risks that exist with biased AI.

“This is probably something that all CIOs are thinking about now, and I think it’s important we do even if we don’t know what AI will look like in a few years or how it will be used then,” he says. “We have to think about the consequences of that.”

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• Source: https://www.fintechnews.org/assessing-the-business-risk-of-ai-bias/