Companies should set ChatGPT input rules before training
The article argues that training employees to use ChatGPT is not enough; companies must define what information can be entered into the model before they start using it. It lists data that must be handled carefully—customer, personal, contract, confidential, trade secret, and unpublished project information—and stresses that rules should be set in advance.
Key points
- Companies must classify input into safe, verify, and forbidden categories
- Anonymization before feeding customer emails to ChatGPT is recommended
- Human verification of AI outputs is essential for sensitive content
It proposes a three‑tier classification: safe to input, requires verification, forbidden. The piece recommends anonymizing sensitive details before feeding them to the model and having humans verify outputs, especially for dates, numbers, legal content. It warns that overly strict rules may discourage use, while lax rules risk data leaks.
The article advises bundling training with internal rules and suggests that companies in Fukuoka look for programs covering prompting, verification, and information management. It concludes that clear guidelines help employees use ChatGPT safely and confidently, and can serve as a template for other organizations adopting generative models.
Why 'Information Management' Should Be Taught in ChatGPT Training | Internal Rules Companies Should Decide Before Using AI
note.com · 30 September 2026
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This text was published by note.com and written by 福岡ChatGPT研修センター. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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