Just Because AI Can Make the Decision, Should We Let It?

Just Because AI Can Make the Decision, Should We Let It? Written by Dan Straw I spend a lot of my time talking to HR leaders about AI. It's difficult to have a conversation about the future of HR without AI coming up. And understandably so. The opportunities are enormous, whether that's reducing administration, improving employee experience, identifying skills gaps, or giving managers better information to support their decisions. I'm genuinely excited about that potential. But as these conversations have developed, I've found myself thinking more about a question that isn't quite so straightforward. Just because AI can do something, does that mean we should let it? We've already seen examples of what happens when AI gets things wrong. Amazon's experimental recruitment tool is perhaps one of the best known. Trained on historical recruitment data, it developed patterns that disadvantaged women. The project was eventually abandoned. The technology hadn't independently decided to discriminate. It had learnt from the world we'd given it. Examples like this have understandably shaped the debate around responsible AI. We worry about bias, unreliable information, and decisions that may di...