
AI will cure what ails you.
That seems to be the mantra of the 2020s. If you have a problem, it appears the solution is to implement artificial intelligence. However, AI is not a cure-all. While AI can be an incredibly powerful tool, it isn’t perfect and there are cautionary tales to consider as countless organizations incorporate AI.
Glitch in the System
Any adult functioning in the digital world knows technology sometimes fails to live up to its promise. AI is not immune to being glitchy, especially when humans fall short in their quality control roles, many of which are still evolving along with the tech. There are countless AI snafu examples that include:
- Less than two years ago, Reuters reported on a U.S. District Judge who sanctioned two New York attorneys when their ChatGPT-built brief included six fake case citations.
- Last spring Google was pilloried by users and media alike when its then-new AI capabilities roll-out resulted in a cascade of false information—including telling users to eat glue and rocks.
- And Fast Company produced a cringe-worthy list of brands last summer whose AI-driven marketing efforts ranged from total failure to deeply offensive, including household names like Toy “R” Us, McDonald’s and Sports Illustrated.
Reliance Risk
The risk of AI is becoming overly reliant on AI. Reliant on its promise. Reliant on its ease of application. Reliant on its accuracy.
Large language models or LLMs—the engines that drive most generative AI tools—train on massive content libraries. As a result, AI is prone to repeating, in whole or part, both the words and style of some of the content on which its LLM trains. These AI tools aren’t designed to violate copyright laws. Rather, they are working with what they know, and what they know is existing, written—and often copyrighted—content. The intent is to mimic human creativity with enhanced, faster output. The risk, of course, is not only plagiarism, but also inaccuracies due to AI hallucinations as well as content that, frankly, often falls short of being truly creative or distinguishing.
Both the quality and legality of AI generated content will be adjudicated in the court of public opinion, as well as courts of laws, for the foreseeable future. Meanwhile, humans are working to catch up. Plagiarism software is continually being stood-up and refined to catch the errant bot-writer. Publishers and others are setting policies for how they will handle contributed AI-generated content. And the legal industry is, most likely, viewing AI as the next asbestos as everyone considers its implications.
Practical Realities
Learning to live with, and employ, AI is an evolving state. What business and nonprofit leaders must consider now regarding their use or incorporation of AI is this:
- Brands and business leaders trying to position themselves as thought leaders will fail—possibly in very public ways—if they cede their expertise to the expedience and perceived accuracy of AI where content is concerned.
- Leveraging AI as a starting point in the creative process can create efficiencies. Relying on AI to drive that process is simply lazy.
- From courts to publishers as well as clients and consumers, much of the early AI-driven content we are seeing runs the gamut from being declared unacceptable to the merely unpalatable with limited exceptions.
- Developing policies around how and where to apply AI in your organization is essential to avoid being left behind.
- Closed AI—essentially a non-publicly accessible AI model—is the only practical approach to AI implementation for many businesses to protect sensitive company and/or client data.
- A detailed dive into how and if your organization’s errors and omissions liability insurance addresses claims arising from your use of AI is most definitely warranted.
- AI can be a remarkable improvement to one’s operational efficiency and even client engagement, but only if thoughtful guardrails are in place with humans overseeing the work and conducting frequent quality and accuracy checks.
Without question, AI is and will continue to shape the future of business. Guiding that process with high ethical standards, transparency and rigorous human oversight is required if non- and for-profit organizations are to maintain the trust and confidence of those they serve.














