A New Code for Communicators: Ethics for an Automated Workplace

What happens when you’re asked to document a product that doesn’t exist—or to release content before it’s been validated? Those of us who have been outside of corporate culture for a while forget that our still-enmeshed colleagues regularly make ethical decisions about their content work. But I began recalling some of my own experiences recently, cringing the whole time.

Early in my career, a colleague at a small manufacturing firm quietly informed me that our newest product, recently presented to the firm’s most important client, was a prototype, not the final design. So, I was basically documenting vaporware. Later in my career, the manager of our small but busy editorial and production group at a large high-tech company stopped by my cubicle one day to tell me that I had to “change my whole personality.” Apparently, the larger department was no longer as concerned about content quality as she perceived I was.

Of course, nothing beats the ethical situation I found myself in as a fledgling business owner, which I described in last month’s blog post. But you get the point.

Fast forward to today. The ethical complexities presented by GenAI in the workplace are multifold. I discussed some of those complexities in my June 2025 blog post. Luckily, we don’t have to face the wave of complexities alone.

We can use existing ethical frameworks for GenAI development, adoption, and use to inform a new ethical code for communicators.

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Ethical Use of GenAI: 10 Principles for Technical Communicators

I was once approached by an extremist organization to desktop-publish some racist content for their upcoming event. I was a new mom running a business on a shoestring budget out of an unused storefront in the same town where I had attended university. Members of the extremist organization had been recently accused of complicity in the murder of a local talk-radio show host in a nearby city.

It was the mid-1980s.

If the political environment sounds all too familiar, so should the ethical situation.

Just as desktop publishing once made it easy to mass-produce messages—ethical or not—GenAI tools today offer unprecedented avenues to content production speed and scale. But the ethical question for content professionals remains: Should we use these tools simply because we can? And if we must use them, how do we use them ethically?

Ultimately, I did not use my skills or my business to propagate the extremists’ propaganda. Nor did I confront them the next day when they returned. On advice from my husband, a member of a minority group in the U.S., I told them I was too busy to turn around their project in the time they requested. This had a kernel of truth to it. I also referred them to a nearby big-box service, whose manager had told me over the phone the night before that she was not empowered to turn away such business (even if she wanted to). Not my most heroic moment.

I am not asking my fellow technical communicators to be especially heroic in the world of GenAI. But I think we should find an ethical stance and stick with it. Using GenAI ethically doesn’t have to be about rejecting the tools; however, it should be about staying alert to risk, avoiding harm, and applying human judgment where it matters most.

In this blog post, I outline the elements of using GenAI ethically and apply ethical principles to real-world scenarios.

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The Secret to Consistent Voice, Tone, and Style 

Not long ago, I was asked what exactly I do. It’s not really a secret. I help organizations improve their existing content while making room for newly developed content—all while helping to ensure the final, overall experience for the target audience(s) is consistent. But the conversation got stuck on the word “consistent.”

Why is consistency important? How does one achieve it? Especially in technical content?

A consistent voice, tone, and style across documents and online content can be the difference between a cohesive user experience and a confusing jumble of instructions. We’ve all experienced it, right? That user manual or technical guide that feels like a dozen different people wrote it on a dozen different days. The information might be accurate, but the experience of reading it? Well, that’s another story.

So, let’s explore the real story of consistency in voice, tone, and style in technical communication, the pitfalls of inconsistency, and how to establish guidelines that ensure your content speaks with a single voice to the reader, no matter how it is generated or how many writers are involved.

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A Most Sophisticated Error in Technical Writing

While writing plainly with clear terminology is always the goal in technical communication, sometimes we must create a complex sentence (like this one!) to convey our meaning. Or we find that we must include a noun clause (like this one!) or even (shudder!) a modifying phrase or clause.

First, the good news. Complex sentence patterns reveal intelligence and a tendency to write in a sophisticated way. Most experienced technical writers fall into this category.

The bad news is that these sentence patterns are easy to screw up. Let me explain why and provide some tips on how to avoid clouding the meaning of your sentences.

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Neurodivergence and Content Design: The Migraine Edition

Designing online content sensitive to user differences has been our responsibility for at least 20 years – in the U.S., since the advent of Section 508 requirements. During that time, our awareness of inclusivity has evolved to include (pun intended) neurodiversity, a term coined in the 1990s by Judy Singer.

Nick Walker, Ph.D., defines “neurodivergent” folks as having “a mind that functions in ways which diverge significantly from the dominant societal standards of ‘normal.’” (See her helpful blog post “Neurodiversity: Some Basic Terms & Definitions.”)

The mind functions differently. That definition encompasses folks with dyslexia, autism, dyscalculia, ADHD, anxiety, and a neurological injury. It also includes me, a person with migraine disorder. Or it should.

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