AGI vs narrow AI isn’t the real question anymore
A Yale economist recently suggested AGI might not automate most jobs, not because it can’t, but because it may not
How trust in AI is built, challenged and maintained. These stories explore transparency, reliability, human judgement and the factors that influence whether people feel confident relying on AI systems.
A Yale economist recently suggested AGI might not automate most jobs, not because it can’t, but because it may not
AI is starting to show up in charities in ways that are easy to miss.
AI is increasingly being used to analyse low-quality imagery that would previously have been considered too blurry, distant, or incomplete
Hollywood has spent years experimenting with AI-assisted production, digital effects, and synthetic media. But the entertainment industry is now drawing
AI-generated workplace errors may cost a 10,000-person organisation around $9 million annually, according to research cited this week by the
AI isn’t replacing doctors. But it is changing how decisions are made.
A fake job offer that feels real. A damaged car that never existed. A voice that sounds familiar, but isn’t.
A photo used to settle things. Now it might just start them.
It usually starts with something small. A recommendation you follow without thinking, or a suggestion that feels right even if
The problem isn’t that AI is biased. It’s that we expect it not to be.
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How trust in AI is built, challenged and maintained. These stories explore transparency, reliability, human judgement and the factors that influence whether people feel confident relying on AI systems.