Tag: content governance

Effective Content in the AI Era: Thriving in a Three-Force Audience Ecosystem

Effective Content in the AI Era: Thriving in a Three-Force Audience Ecosystem

Debra W Kahn (@debrawk.bsky.social)

When I created the Three-Force Audience Model for my July blog post, I focused on the endpoints.

The reader. The AI system. The community.

But afterward, I found myself thinking more about the spaces between them.

After all, these forces don’t operate independently. A reader asks an AI system a question. Someone brings the AI-generated answer into a professional discussion. That community discusses, challenges, or reinforces the idea and seeks further sources. Each interaction can change how information is understood—and what happens to it next.

That makes the spaces between the endpoints at least as interesting as the endpoints themselves.

So, for this follow-up, I went back to the Three-Force Audience Model and added arrows to represent the multi-way interactions among the three forces.

What they reveal is a more dynamic picture of today’s content environment—and some important implications for those of us who create and manage content.

How the Three Audience Forces Interact

The audience ecosystem I introduced last month should move us, as content creators, beyond the notion of a single audience type for our content. Instead, our content exists within an ecosystem shaped by three very different audience forces.

Given that, we must accept that there is no single type of interaction with our content—or even a single audience flow. Audiences interact with our content at any point along their journeys to or from it. As they do, they can add meaning that, in turn, can help us improve and even expand the original concept.

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A New Code for Communicators: Ethics for an Automated Workplace

A New Code for Communicators: Ethics for an Automated Workplace

Debra W Kahn (@debrawk.bsky.social)

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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Agent vs Agency in GenAI Adoption: Framing Ethical Governance

Agent vs Agency in GenAI Adoption: Framing Ethical Governance

Debra W Kahn (@debrawk.bsky.social)

Everywhere I look these days, I uncover new terms related to Generative AI (GenAI), some of which have competing definitions. I get lost in the details. My confusion is partly my fault for trying to knit together meaning from too many sources, but it is also due to the evolving nature of GenAI and its application to real-world work environments.

Ay, there’s the rub, as Hamlet would say—GenAI’s nature versus the real world.

Odd isn’t it? To think of GenAI having a “nature” since it is a thing that has been nurtured. Equally perplexing is thinking of the usually ordered world of human work flailing in the face of a single new technology. But that is where we find ourselves these days.

Hamlet’s famous “to be” speech finds him in a moral dilemma, caught between acting—or not—to avenge his father’s death. He contemplates existence versus non-existence and the known world versus the unknown world beyond death, an experience he labels “the undiscovered country.” (Star Trek fans, anyone?) The speech offers a foreshadowing of what is to come in the play.

While not all of us are paralyzed by fear of the unknown, as Hamlet is, many of us struggle with the tensions inherent in the adoption of GenAI by our organizations and content teams. In this blog post, I examine these tensions, share some definitions, and offer suggestions for the ethical governance of GenAI in the content workplace.

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