The usage of generative AI in business is becoming more popular, however it's critical to distinguish between professionals and non-experts in this regard.
Anyone can be an authority on one subject while being a novice on another.
I am not an expert on quantum physics 🧬 or climate change 🌍, but I do consider myself an expert in
#PMOs 📊.
We may occasionally know a lot about a subject but not be experts in it.
Even though I've worked in and around enginerring for a long time, I wouldn't classify myself as an expert in the field.
It's critical to understand our position on the expertise spectrum when we use generative AI in our work.
When we don't know something about an issue, we have to be brutally honest about it.
It's simple for a layperson to be taken in by the impressive-sounding AI responses and take them at face value.
Naturally, as specialists, we see
#AIgenerated content more critically . We are aware that we should go over the answers, confirm the facts, point out any out-of-date or inaccurate information, and, if needed, delve further.
We must proceed cautiously even though hashtag#generativeAI can help close important
#knowledgegaps.
The main benefit of generative AI, in my opinion, is that it enhances rather than replaces our existing skills. Utilising artificial intelligence to improve our current knowledge and abilities is the key to success.
Do you share this opinion or do you have a different one?