Training AI to be unbiased must be a priority, not an afterthought

When considering threats posed by artificial intelligence (AI), the focus usually rests on two. Some foresee a terrifying Skynet dystopia, with sentient computers identifying mankind as their greatest enemy and turning the world into a killbot hellscape. But the most likely threats come from bias and failures in trust. Read more: The narrative is shifting – it's now time to rekindle trust in business AI and machine learning should result in fairer, more evidence-based decision-making, since machines are supposedly free from human biases. But as machine learning is reliant on data input, bias at this stage is not only reflected in the machine's model, but becomes ingrained.