🌟 Rethinking AI: From Misconceptions to Clarity 🌟

The term ‘artificial intelligence’ (AI) still causes a lot of confusion, so we should rebrand to ‘machine intelligence’.

What we call AI doesn’t “understand” in the same way as humans do. It recognises and creates patterns based on probabilistic models. It’s important to understand this difference because it helps us have realistic expectations and make the most of machine intelligence.

Even though this might seem a bit hair-splitting, let’s embrace the nuances and educate others about the true nature of AI. If we do this, we can help to build a more informed and innovative community, driving forward the impressive advances that machine intelligence offers.

If we can cut through the noise and get to the heart of what AI is really about, it’s much easier to work in a meaningful way. And this clarity doesn’t ignore the challenges, such as high resource consumption and potential negative impacts, e.g. on the workforce. But it helps us to talk more clearly and sensibly about what we can use it for and what problems we might run into.

#MachineIntelligence #Innovation #FutureOfWork