5 Mistakes to Avoid with AI In The Workplace

AI has been hanging out with us for a while now, but it really entered our lives when ChatGPT made its debut.

This is a direct quote from ChatGPT itself: “As of 2024, I assist millions of users every day, helping with a wide range of tasks from answering questions and providing recommendations to generating content and offering support. My usage varies, but I often handle thousands of interactions per minute across the globe.”

That’s very impressive, and we have other big players in the game like Gemini by Google and Copilot by Microsoft, and hundreds of GPT varieties.

They’re all here to make things easier for us and there’s nothing wrong with using them. It’s an amazing opportunity to automate mundane tasks to focus on more compelling and creative work.

As AI continues to get better at automated tasks at work, be sure to avoid these 5 mistakes when using AI tools:

1. Using AI just for the sake of it

We keep either seeing or hearing that AI is the future and you should be using it to do this or that. Let’s cool down a bit.

If you and your team don’t see a value in using a specific AI tool, and its contribution to your workload, then don’t use it just because someone else does. Otherwise, you’ll find yourself with a pile of AI tools without any benefit.

2. Letting AI replace human interactions

Don’t think of AI as a human extension, it’s programmed by humans. Although AI tools have many capabilities to complete any given task, they lack emotions or personal experience.

AI cannot be genuine, kind, or thoughtful like an actual person can be. Communication shouldn’t be generated by an algorithm. Think about this, you send an AI-generated email and get another AI-generated email in response. Well, that’s not human interaction my friend. There are nuances to human communication that an AI chatbot just can’t get right.

Imagine getting AI-generated generic feedback from your manager, and you recognize it when you see it, and it doesn’t feel right. There’s a way you can leverage AI when reviewing your feedback. For example, with Teamflect, if you have multiple pieces of feedback lined up, you can use the ‘Summarize with AI’ feature to get a summary of all the feedback, both the good and the bad.

3. Not fact-checking the information

This one’s a short one but it’s important. AI algorithms rely on data provided by humans, and false information is out there among us! The dataset might be faulty or biased. Always fact-check your output and if you don’t believe us just check out at this news.

4. Letting AI do all the writing

Don’t let AI do all your writing for you and this is not about AI-generated SEO content because that’s a whole other subject.

Writing is a skill, and it only gets better if you do it, not the AI tool you’re using. We know that Google is favoring human content and other platforms approach AI-generated content with caution. In the end, human content has never been more valuable.

5. Not properly setting up AI tools

AI is not a quick, easy fix. It requires an in-depth understanding of its functions, employee training, monitoring of its performance, and regular maintenance checks. You can refer to Doug Davidoff’s article for further reading.

If you don’t skip these steps and invest in them, you will reap its rewards.

What do you think about bringing AI tools into the workplace? Any tips for making the most of them?

For more information on how to dodge common AI mistakes in the workplace, head over to our YouTube channel!