Do you need help with AI & Automation or IT Management?
Artificial intelligence is a hot topic right now, and businesses are keen to explore its potential. But AI isn’t a simple plug-and-play solution. If your company is experimenting with AI, it’s a good idea to assign someone to take the lead. This person doesn’t need to be a tech whiz, but rather someone who can spot opportunities where AI can help and ensure it’s used responsibly.
Key Takeaways
- Appoint an internal AI lead, even if they aren’t technical.
- Focus on real business problems that AI can address.
- Be cautious about automatically publishing AI-generated content, as audiences can often tell.
- Always double-check AI outputs for mistakes, missing information, or fabricated details.
Why You Need an AI Lead
As AI technology rapidly develops, it’s easy to get caught up in the excitement. However, it’s important to approach its implementation thoughtfully. Having a dedicated person, an "AI Champion," can make a big difference. This individual’s role is to understand what problems AI could potentially solve within the organisation. They can also look into what technologies are available and help prioritise how AI is used.
Right now, many businesses are in an experimental phase with AI. It’s tempting to jump in and start using it for everything, but it’s wise to be mindful of how you’re using it. For instance, sending out content that’s obviously written by AI might not go down well with your audience. People can get quite annoyed if they feel they’re being fed automated content.
Using AI Safely and Smartly
When it comes to using AI safely, it’s not about replacing human input entirely. A good dose of common sense is still needed. AI can sometimes generate information that sounds convincing but is actually incorrect or nonsensical. One of the most frustrating aspects is when AI takes existing information, rearranges it, but then adds details that weren’t there originally or leaves out important points. So, while experimenting is encouraged, remember that AI isn’t perfect and still requires careful oversight.
