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Once the initial shock of ChatGPT wore off in PR community, some of the more nefarious use cases came to light: Generative AI could be used to pump out false information; Legal issues about training data and copyrights emerged; and Generative AI sometimes just “hallucinates” – it make up answers. Large language deals. Brands (NYSE: YUM).
I also have led the internal communications team and launched a publicaffairs newsletter and advertorial for a large hospital system in California. Ethics and earning public trust is critical for both of those industries. If you’re getting a lot of pressure “let me go check with legal and compliance.”
Forgive me if I boast about the US Navy PublicAffairs community for a moment. Accidents of this magnitude and frequency don’t occur without a systematic breakdown in equipment readiness and training. Here’s where the PublicAffairs team and senior leadership shined. Respect for Privacy. Quick Announcements.
Here are several limitations that we’ve seen across different generative AI models in our work so far: Requires a large amount of high-quality training data to produce accurate results Can only retrieve trained data, which excludes new information and current events Generates inaccurate information as if it were correct (known as “hallucinations”) (..)
But it’s greedy because there is nothing much in it for the poor person whose door has been knocked on, life interrupted and privacy violated. I run training courses where PR and communications people can start to ask the right questions and think about the answers. I help people to campaign and communicate in new, better ways.
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