Chances are that you’ve considered implementing artificial intelligence (AI) in your workplace processes. But when, where, and why (or why not) should you use it? Little Rock Soiree Magazine turned to the experts at Sullivan Wright Technologies for guidance on best practices for this ever-evolving technology. Check out an excerpt of their conversation below.
“WHEN: One of the best times to use generative AI is at the start of a project. The technology can be helpful as a jumping-off point, such as testing out different ad concepts, but not for producing finished products. In other words, we shouldn’t just copy and paste. Remember, AI-generated content isn’t original or new. The models train on existing data. In fact, it can be quicker to do it ourselves than to refine the output from an AI tool.
WHERE: When it comes to AI in the workplace, we should always use employer-approved platforms. If our companies don’t already have these services, we should request them rather than going out on our own. Choosing a platform ourselves could inadvertently expose sensitive information to an unconstrained model that ingests our data for training. As IBM points out, the threat “lies in just how open [these models] are to misuse.”
WHY: Before using a generative AI tool, we should ask ourselves whether it truly provides value. Are we trying out different platforms because they are trendy and cool, or because they deliver better results? We need to be careful not to contribute to the flood of “AI slop,” low- to mid-quality content, including audio, images, text, and videos. While this content is quick and sometimes fun to produce, Fast Company, as well as many others, warns that it is “leading to piles of dreck” (aka trash) that is degrading the quality of the internet.”
What’s the main takeaway? Sullivan Wright Technologies believes we should view AI as a tool, not a crutch. Used wisely and with proper safeguards, these tools can save time, reduce drudgery, and allow employees to focus on meaningful, higher-level work. Treating it like a magic bullet—for anything and everything—risks undermining both security and quality.
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