AI Helped Me Write this. So What?

There has been a lot of conversation lately about AI-generated work and, most recently, the decision by some AI companies to watermark or otherwise identify AI-generated content.

My first reaction was pretty simple: So what?

If I use AI to help organize my thoughts, catch an error, research a topic, improve a document, or save myself hours of repetitive work, does that somehow make the final product less valuable? I don't think it does.

I think we're asking the wrong question. Instead of asking, "Did someone use AI?" we should be asking, "Did they use it responsibly, and did they know enough to evaluate what it gave them?"

That distinction is especially important in fields like Applied Behavior Analysis (ABA) and Human Resources, where our decisions and our work directly affect people.

AI Doesn't Replace Expertise

AI doesn't replace my expertise or the years I've spent as a leader and HR professional. In fact, that experience is part of what makes AI useful to me.

I know when an answer needs another question. I know when there is another perspective we should consider, when something doesn't quite fit, or when a recommendation that sounds good on the surface may not work in practice.

AI can help me get there faster, but my experience tells me where to look, what to question, and when to keep digging. It's another set of eyes—not a replacement for my own.

That's where I think the conversation should be centered. Not on whether AI touched the work, but on the expertise, judgment, and critical thinking the professional brought to it.

Using AI in ABA and HR

In ABA, there are plenty of ways AI can support the work without replacing the professional doing it. It can help organize information, research a topic, develop training materials, improve communications, create a starting point for educational resources, or help someone think through a problem from another angle.

That doesn't mean asking AI to be the BCBA.

Clinical judgment, direct observation, context, ethics, relationships, and accountability remain with the clinician. AI doesn't have years of experience sitting across from families, supervising staff, observing behavior, or understanding all of the nuances that can change how a situation should be approached.

What it can do is make some of the work surrounding those responsibilities more efficient. If a clinician spends less time formatting a document, searching for a starting point, or staring at a blank page, that's time that can be spent on supervision, caregiver collaboration, staff development, analysis, and the people we actually serve.

The same is true in HR.

AI can help draft job descriptions, develop interview questions, research employment practices, organize policies, prepare communications, create training materials, summarize information, or help think through the different sides of a workplace issue.

Would I want AI independently making an employment decision? Absolutely not. But would I use it to help me think through an issue, challenge an assumption, research considerations I might want to explore, or turn my rough thoughts into a more professional communication? Absolutely.

Those are two very different things.

Responsible Use Still Matters

None of this means we should ignore the risks.

There are legitimate concerns about confidentiality, privacy, bias, accuracy, compliance, and the tendency of AI to occasionally provide an answer that sounds incredibly confident while being completely wrong.

Professionals need to understand those limitations. We need to know what information should never be entered into an AI system, when information needs to be verified, and when the situation simply requires human judgment.

But "Was AI used?" and "Was AI used irresponsibly?" are not the same question.

That's an important distinction.

If someone asks AI to do their job, copies the response without reading it, and calls it finished, I have a problem with that.

If someone enters confidential employee or client information into a system without understanding the privacy implications, I have a problem with that too.

If someone relies on AI-generated research without checking whether the information—or even the sources—are accurate, that's a problem.

But what if someone researches the subject, brings years of professional experience to the issue, develops their own position, and then uses AI to challenge their reasoning, ask additional questions, catch an error, improve their writing, or identify a perspective they may not have considered?

I don't see the scandal.

I see a professional using the tools available to them.

Maybe AI Literacy Is the Skill We Should Be Talking About

The competitive advantage probably won't belong to the professional who simply refuses to use AI. It will belong to the professional who knows when to use it, when not to use it, how to question it, and how to verify what it produces.

Knowing how to write a good prompt is useful. Knowing enough about your field to recognize when the answer isn't good enough is far more valuable.

That's where experience matters.

AI can give two people the same answer, but an experienced professional may immediately see three questions that still need to be asked. They may recognize a legal consideration, an ethical issue, a practical consequence, or simply the human element that the technology missed.

That isn't AI replacing expertise.

That's expertise making better use of AI.

So if the document has a watermark telling me AI was involved, okay.

Tell me something more important.

Did the person behind it know what they were doing?

Because that's the conversation about AI that I think is actually worth having.