AI is becoming a fixture in public relations, from brainstorming campaign ideas to drafting content and analyzing audience behavior. But as adoption grows, so does the responsibility to use it thoughtfully. According to the Global Alliance, 95.9% of organizations permit AI, while only 47% have a responsible AI framework. For PR professionals, the challenge is establishing ethical standards that keep pace with the technology.
Start With Existing Ethical Standards
PR already has a foundation for responsible AI use. The PRSA Code of Ethics emphasizes honesty, advocacy, expertise, independence, loyalty and fairness. These principles apply whether content is created by a person, AI or a combination of both.
PRSA’s primer on the ethical use of AI further explores transparency, accountability and human oversight. The guiding question is simple: Would we hold AI-assisted work to the same ethical standards as human-created content?
Accuracy and Accountability in AI-Generated Content
AI can accelerate production, but speed and affordability don’t guarantee quality. Generative AI can introduce factual errors, bias and fabricated information. The National Institute of Standards and Technology identifies confabulation, in which AI generates false or misleading information, as a key risk.
In PR, where credibility is central to the work, human review is essential. Every claim, statistic, quote and source needs appropriate verification. AI can assist with content creation, but the people and organizations publishing that content remain accountable for its accuracy.
Transparency also matters. The appropriate level of disclosure depends on how AI is used and whether its involvement would affect how an audience interprets a communication. Generating an initial list of ideas carries different implications than creating a synthetic spokesperson or an entire campaign.
Efficiency Comes With Hidden Costs
AI-generated content may save drafting time while creating additional work through fact-checking, editing and strategic review. Teams also need to consider privacy, confidential information, client expectations and organizational policies.
The real measure of efficiency is how much valuable human work AI saves while maintaining quality. Publishing more content has little value if the output requires extensive correction or puts audience trust at risk.
A Practical Ethics Check
Before using AI, PR professionals should ask six questions:
- Purpose: Why are we using AI?
- Accuracy: How will we verify its output?
- Privacy: What information are we sharing?
- Human judgment: Who is responsible for the final work?
- Transparency: Should the audience know AI played a role?
- Quality: Does AI improve the work or simply speed up production?
Keep Questioning the Output
As AI becomes more embedded in communications, responsible use must become standard practice. PR professionals have a particular obligation to protect the trust and credibility their work depends on.
That means staying curious about the technology while questioning its outputs, checking its assumptions and maintaining human oversight. AI can support the work, but ethical judgment must remain with the people behind it.
FAQs
Is it ethical to use AI-generated content in public relations?
Yes, AI-generated content can be used ethically in public relations when it is reviewed by humans, fact-checked, and aligned with professional ethics standards. PR professionals should remain accountable for accuracy, fairness, transparency, and the responsible use of AI.
Should PR professionals disclose when content is generated by AI?
Disclosure depends on how AI is used and the context of the communication. While AI-assisted brainstorming may not require disclosure, content featuring AI-generated quotes, synthetic spokespersons, or realistic AI-generated media may warrant transparency to avoid misleading audiences and maintain trust.
How can PR teams make sure AI-generated content is accurate?
PR teams should verify facts, statistics, quotes, and sources before publishing AI-generated content. Human reviewers should also check for bias, misleading claims, and inappropriate use of confidential information. Establishing clear AI usage guidelines and review processes helps maintain content quality and protect organizational credibility.
