3 Ways Your Business Should Never Use Generative AI

With the rise of generative AI infiltrating pretty much every sector of society, it’s no wonder that businesses are finding creative new ways to use it for their gain. However, you need to be especially careful when using generative AI in the workplace. Today, we want to cover three common no-no’s that your business should keep in mind as it navigates the wild landscape that is AI.

Don’t Upload Proprietary or Sensitive Data

Data analysis is one of the biggest reasons people use AI, but it’s easy to forget how these public AI models work—and it makes uploading data quite risky.

These models are constantly training themselves off of user input, which means that if you give an AI platform access to your data, there’s a chance it will pull that data and share it with another user at some point in the future. This could put your business at odds with confidentiality agreements and regulatory bodies. It could even bring about breaches of regulatory compliance, resulting in hefty fees and ongoing problems for your business.

So keep those customer lists, internal financial reports, unreleased product designs, and unique business processes private by not sharing them with public AI; after all, you don’t want to share anything that could put your business at risk.

Don’t Rely on Unverified Information for Business Decisions

Due to the nature of generative AI solutions, you should never blindly trust them. Here’s why.

AI models are designed to predict the most statistically plausible next word, not an actual, factual truth. AI can hallucinate and generate information that is false, even if it sounds like it should be correct. Imagine how much trouble you could get into if AI fudges the numbers for a financial disclosure or falsely interprets a law!

Therefore, you should always subject anything you create with AI to meticulous human review—especially if there is a lot of possibility for incorrect information to negatively impact your business.

Don’t Fully Automate Customer Communications

You might think you can save a bunch of money by using AI to replace the human interaction elements of customer service, but this is a big mistake.

AI models will always lack the genuine empathy and emotions necessary for more specific customer service interactions. Sure, AI can be programmed to respond to the most likely inquiries, but if the customer veers too far from its pre-programmed database, they will only grow frustrated when the AI cannot help them. AI can be used to filter and route these more complicated requests, but it should never be the sole solution to the issue of customer service.

Your customer service should be headed by real, live humans who have practical problem-solving skills and the empathy required to meet your customers where they are.

Curious How AI Can Change Your Business?

If you’re looking to level up your business with AI, we have some recommendations for you. Learn more about how we can help your business implement and use AI to the best of its ability by calling Datalyst at (774) 213-9701.