April 28, 2026
Jeromee Scot
I recently spoke to the Tulsa chapter of Public Relations Society of America (PRSA Tulsa) about how AI is changing communications.
The room wasn't full of skeptics wondering if AI would ever arrive. These were professionals already using it, already running into its blind spots, and already asking the harder questions about what responsible use actually looks like.
Here's what I shared.
The efficiency is real. So is the risk.
AI has made certain parts of the job genuinely faster. Press releases that used to take an hour to draft take minutes. Social content that required a full afternoon can be outlined before lunch.
But speed has a cost most people don't talk about. The faster something gets created, the easier it becomes to stop scrutinizing it. When content looks polished, and AI-generated content often does, people assume it's already been checked. It usually hasn't.
AI still gets facts wrong. It misreads context. It can produce messaging that sounds professional but doesn't actually say what you need it to say. That's manageable if you're treating it like a first draft. It becomes a real problem if you're treating it like a finished product.
The image problem is bigger than most people realize
A year ago, you could usually spot an AI-generated image. That's not really true anymore.
Today's tools produce visuals that match branding, render realistic faces and environments, and handle text inside images, which used to be a dead giveaway. For communications teams, this unlocks faster content production and more creative flexibility. It also forces a question that didn't used to exist: if your audience can't tell an image was generated, does that change whether you should use it?
For PR professionals, the PRSA Code of Ethics makes the answer pretty clear. Honesty, transparency, and the accurate flow of information are the foundation of what we do. When audiences can't distinguish real from generated, we're the ones responsible for protecting that line.
Should you disclose? Transparency is about intent.
During the presentation, I shared my process for disclosing whether AI was used in communications materials. Generally, my stance is if most of the output is created by AI, it should be disclosed. Ultimately, when in doubt, disclose.
That question applies to written content, visuals, research summaries, and messaging frameworks. It doesn't mean you need to footnote every tool you use. But it does mean being intentional, thinking about what your audience expects, how the content will land, and whether anything could be misread.
Transparency built into the process from the start looks very different from transparency bolted on after someone asks.
What happens to client data when you use AI tools?
This one doesn't get enough attention.
Most AI platforms require you to input information to generate content. That means it's worth asking: Are you entering sensitive client details? Internal strategy documents? Campaign specifics you wouldn't share outside your organization?
If you wouldn't put it in an email to someone external, it probably shouldn't go into an AI prompt without first understanding how that data is stored or used. Different platforms have very different policies, and most people haven't read them.
What responsible AI use actually looks like in practice
AI works best as a thinking partner and a drafting tool, not a replacement for judgment. It can accelerate your process without changing who's accountable for the outcome.
In practice, that means using AI to generate drafts and then verifying facts before anything goes out. It means letting it help with ideation while keeping strategic decisions with the humans who understand context. It means treating efficiency gains as an opportunity to do more thorough review, not less.
The professionals doing this well are the ones using AI intentionally.
Every organization using AI needs a policy
Right now, a lot of teams are making AI decisions on the fly, figuring out what's appropriate in the moment, often under deadline pressure. That's where errors compound.
A basic AI policy doesn't have to be complicated. At minimum, it should answer which tools are approved for use, what types of information can be entered into those tools, when human review is required before content goes out, and when disclosure to clients or audiences is necessary.
Without that framework, good intentions aren't enough.
The bottom line
AI is a powerful tool, and it's not a neutral one. Used with intention and accountability, it makes communications work better. Used carelessly, it creates exactly the kind of credibility problems that are hard to recover from.
At Scot Media Tulsa, I work with businesses, nonprofits, and organizations to help them understand how to use AI the right way.
That includes:
Training teams on practical AI use in communications
Developing AI policies and internal guidelines
Teaching ethical content creation strategies
Helping organizations use AI for media relations, press releases, and content planning
The goal is to make communication professionals more effective, while protecting the one thing that matters most: trust.
If you would like help building an AI strategy or training your team, you can learn more at: www.ScotMediaTulsa.com
Ready to take your media relations and communications strategies to the next level? Visit our new Scot Media Tulsa Digital Bookstore for eBooks and customizable templates to help you elevate your brand without having to hire an expensive PR firm!
Want a personalized AI or communications strategy? Contact us today to discuss your project and see how we can help you achieve your goals.
Call or Text: 918.859.9072
Email: jeromee@scotmediatulsa.com
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Ethical AI use in public relations means using artificial intelligence tools in a way that is accurate, transparent, and responsible. This includes verifying information generated by AI, avoiding misleading content, protecting confidential data, and being mindful of how AI impacts audience trust.
Not in every situation, but it depends on context. If AI significantly influences content, especially visuals or messaging that could be perceived as real or human-created, disclosure may be necessary to maintain transparency and trust with your audience.
AI can improve efficiency, but it can also introduce errors, generic messaging, or misleading information if not reviewed carefully. Publishing inaccurate or unclear AI-generated content can quickly damage credibility with both media and audiences.
Some of the most common risks include:
Inaccurate or “hallucinated” information
Loss of brand voice or tone
Use of unverified or unusable visuals
Sharing confidential information in AI tools
Lack of transparency with audiences
PR teams should use AI as a support tool, not a replacement for human judgment. Best practices include:
Reviewing and fact-checking all AI-generated content
Keeping humans involved in decision-making
Establishing clear internal AI policies
Using AI to enhance, not replace, strategy and storytelling
An AI policy outlines how your organization uses artificial intelligence tools. It should define what tools are approved, what data can be shared, and when human oversight is required. Having a policy helps reduce risk and ensures consistent, ethical use across your team.
Yes, but with caution. AI-generated images can be effective for marketing and storytelling, but they raise ethical concerns if they appear real and are not disclosed. Using them responsibly means considering how your audience will interpret the content and whether it could be misleading.
AI is changing how both PR professionals and journalists work. PR teams are using AI to draft content and pitches, while journalists are using it to research, summarize, and fact-check. This makes accuracy and credibility even more important, since both sides are moving faster than ever.
Not at all. AI is constantly evolving, and many professionals are still learning how to use it effectively. Those who take the time to understand it now will be in a stronger position to adapt and succeed as the technology continues to change.
Scot Media Tulsa provides training and consulting to help businesses and organizations use AI effectively and ethically. Services include AI education, content strategy development, media relations guidance, and creating internal policies for responsible AI use.