Generative AI tools are making waves across the business world. They're helping us to create content, support design work – and even shape customer experiences.
But as we think about integrating these tools into our operations, it's wise to take stock of the potential pitfalls. Let’s look at some of the key considerations here.
AI hallucinations
The concept of an "AI hallucination" sounds whimsical, but it refers to the times when AI generates information that’s inaccurate. Essentially, when it makes things up.
The problem is that the generated output from tools like ChatGPT can sound very viable and authoritative, so it's easy to miss these "hallucinations". This can lead to misleading or inaccurate content, which is never a good thing for business.
My advice: Fact-check everything before you put it live. It’ll save any issues further down the line.
Plagiarism concerns
Generative AI models are trained on huge datasets. Some of this content will contain copyrighted material. As a result, there's a chance, albeit a small one, that your generated content could mirror something that's already been published.
Of course, it's not easy to spot this content, which leaves you open to unintentional copyright infringements or even accusations of plagiarism.
My advice: For this reason, I’d suggest scanning your AI-generated content to check for plagiarism. There are plenty of tools out there to help you, including the likes of and .