Unravelling the threat of data poisoning to generative AI

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I age myself when I talk about the old days of computing, back when the cloud was known as ‘utility computing’ and hosted services. From those early days, it took about 10 years for cloud to go from niche and new to the default way of building and consuming applications. This shift has been immense in scope, not only for creating applications but also in the way we design networks, connect users and secure data.

We are now undergoing another fundamental change, but one that won’t take several years to become the default – the rise of generative AI tools. Businesses and mature economies have struggled with a productivity plateau in recent years, and the potential for generative AI to break through and unleash a new wave of productivity is just too alluring. As a result, generative AI will become an essential part of everyday work life in 2024, just 18 months after the first broad-based AI tools caught mass attention.



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Unravelling the threat of data poisoning to generative AI

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