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AI can be applied … and mis-applied

AI is only as strong or relevant as the information sets it utilizes. And importantly, the world of generative AI is still under development. Despite mimicking human intelligence, Generative AI is not sentient. It can’t recognize mistakes any child could.

That’s critical for understanding how, when and where to apply AI in our workdays. It’s smart to consider it like an incredibly capable teammate that provides an extension, not a replacement, of your team.

As an aggregator of data sets, AI presents serious issues around privacy and protection. There are both free and paid models available to use and both have their benefits and challenges.

Before you begin any experimentation, you should take steps to protect your company and your intellectual property. Consider forming a usage policy for your organization; if you’re not sure how, Bader Rutter can help.

Regardless of the solution you choose, consider the answers to the following questions.

Here’s a simple chart that toplines the scope of free vs. paid Generative AI platforms.

Keep in mind, at this point, AI produces many lackluster outputs. That’s the finding of a Harvard Business Study, succinctly encapsulated in this insightful data scientist’s blog here.

We hope this primer inspires you to explore the possibilities of this new technological tool. New possibilities pop up every day, which required us to rewrite this report multiple times over the few weeks we took to prepare it. But it’s worth taking the time to be AI-literate. And AI-savvy.

That will require you to learn, unlearn and relearn. But that sure beats letting somebody using AI to take your job. Or outperform your brand.