We asked 413 people why they hate AI. Here’s what they said and how to solve these issues:
❌ Incorrect answers
Always cross-check AI responses with reliable sources. For example, if you're using AI to draft a report, verify key facts and figures by reviewing trusted websites. You can also ask follow-up questions to clarify details and improve the accuracy of AI-generated content.
💤 Generic content
To avoid generic content, add more detail to your AI prompts relevant to your audience, topic, and tone of voice. I find that asking AI to be "casual yet professional" or "conversational and human" improves the quality of the content. The more detailed the prompt, the less generic the output.
⏳ Outdated information
AI models are often trained on data that may not include the latest information, so always double-check dates and new developments. For example, when creating content on evolving technology, manually review the latest news or updates. You can also ask AI to review links and documents to improve the quality of the output.
AI will never get the correct answers 100% of the time.
That's why people hate using AI.
But by asking better questions, adding more detail to your prompts and cross-checking sources, we can get better answers from AI.
Am I missing anything?
Let me know in the comments.
If you'd like to dive deeper into our recent AI webinars for public affairs and comms professionals, check out our webinar recordings here: https://lnkd.in/dXdvuRq6
Talk to you later 👋
P.S. I'm still in Portland until the end of the month but will be back in Brussels soon.
**This was originally posted on Jacques Foul's LinkedIn account.
