Finding the fairness in AI

As artificial intelligence (AI) becomes more widely used to make decisions that affect our lives, making certain it is fair is a growing concern. Measuring the fairness of an AI system using current methods may not be enough to mitigate bias.

"It could be dangerous to just use algorithmic fairness (metrics) on (their) own," said Associate Professor Rumi Chunara, adding how "We should really solve the reason why that data is different for those different populations. Without figuring out what's happening, we can't just put a fairness metric on an algorithm and require the outcomes to be the same."