What Can You Hand to an AI, and What Should You Keep?
Summaries and background reading are easy to delegate. Personal data and publishing raw output are not. Here is where the line sits, and why, in five checks.
Key points
- Delegate background research, summaries, rewrites, translations and reading images; keep medical, legal and financial decisions, personal data, other people's secrets and publication without review.
- Personal data reaches the provider as soon as you send it, and where the provider trains on inputs it can count as supplying data to a third party, so the official guidance asks businesses to check their purpose of use.
- Do not publish generated text as it stands: someone has to check the facts and confirm it does not resemble an existing work. When in doubt, leave it out.
Contents
You ask an AI to summarise a meeting, then hesitate before pasting the client list. The draft it returns reads well, and you wonder whether it can go out to a customer as it stands. Both hesitations are reasonable: what you can delegate depends on the kind of task and, more sharply, on the kind of information.
The short version: background reading and summaries are fine. Personal data, other people's confidential material, final decisions, and publishing output without review are not. This article sets out the line, then explains why personal data and generated text get their own rules, using the official Japanese guidance that applies to businesses, and closes with a five-item checklist.
What can you hand to an AI?#
Delegate work you can verify against a source: background research, summaries, rewrites, outlines, translations, reading an image, drafting code. Keep medical, legal and financial decisions, personal data, confidential material and anything you would publish unreviewed.
| Hand over | Keep to yourself |
|---|---|
| Background research: what a term or a field means | Medical, legal and financial decisions |
| Summaries and rewrites: shortening text, plain wording | Personal data: names, addresses, contact details, health records |
| Outlines and translation | Other people's secrets: client material, unpublished business detail |
| Reading an image: turning a photo or chart into words | Publishing generated text without review |
Even on the left-hand side, check the output against the source: an AI answer is material to verify, not a conclusion. The mechanics of asking are in how to use a no-filter AI, and images have their own guide in asking an AI about an image, including the privacy caution that a photographed face or name tag counts as personal data too.
Why is personal data treated differently?#
Because sending it transfers it: the text leaves your browser, reaches the provider's servers and is processed there. The part that turns into an obligation is whether the provider trains on what you submit. Japan's Personal Information Protection Commission (PPC) published a notice on generative AI services on 2 June 2023, which states that entered personal information may be used for the provider's machine learning and that businesses must check that their use fits the purpose they stated.
Where the provider does train on inputs, entering personal data can amount to supplying personal data to a third party, which the Act on the Protection of Personal Information then governs. The wording "can amount to" is deliberate: how it applies depends on the facts, and the call belongs with an adviser or the regulator's help desk. The general legal frame is covered in is uncensored AI legal?.
Health records, medical history and beliefs are what the Act calls special care-required personal information, and they need the most cautious handling of all: keep them out of a chat box at work. Before choosing a service, check the terms and the privacy policy for how inputs are treated; Deepent Research states its handling on the service page, and other services differ, so do not assume they match.
When you are unsure, the safe default is not to enter it. If you must use the content, consider masking: replacing a name with "Ms A" and so on. Masking is a mitigation, not permission: if the person can still be identified from what remains, it is still personal data.
"We do not train on your input" changes what the provider does with it, not the fact that you sent it. Decide before you paste, not after.
Why should you not use the output as it stands?#
Because two separate checks are missing: whether it is true, and whether it resembles something that already exists. AI writes confident falsehoods, including invented document titles and wrong figures inside otherwise natural sentences.
On copyright, Japan's Agency for Cultural Affairs published its thinking on AI and copyright in March 2024 and a checklist and guidance for the parties involved that July; at the point of use, the question is whether the output resembles an existing work. The Agency's AI and copyright page carries both documents. Producing text with AI does not move the responsibility for publishing it: that stays with the person and the organisation that published, so confirm the facts and check for similarities before anything leaves the building.
An existing work is a novel, article, photo, illustration or other piece its author has already published.
How do you decide at work?#
Start from what is allowed rather than what is banned: a list of prohibitions always has gaps, while a short list of permitted uses is checkable.
- Write down the permitted uses. Background reading, summaries, rewrites, outlines, translation: the tasks your team may use AI for, with anything else going through a named person first.
- Give examples of the two sides of the information line. Fine: published product descriptions, general industry terms, text from documents that are already public. Not fine: customer names and contact details, unpublished contract terms, staff evaluations, unreleased product plans.
- Adopt one rule for doubt. When unsure, do not enter it. Pair that with one place to ask, such as the person who owns information management, so nobody is stuck between a deadline and a rule.
- Note the reference points. The Ministry of Internal Affairs and Communications and the Ministry of Economy, Trade and Industry publish AI guidelines for business operators, which help when writing internal rules.
- Schedule a review. Revisit the rules when a provider changes its terms or when official guidance is updated.
What is the five-item checklist?#
Run these five questions before you paste something in and before you publish something out.
- Is this information excluded? (No personal data, no confidential material.)
- Is the provider training on inputs? (Checked the terms and the privacy policy.)
- Have I verified the output? (Figures, dates and titles checked against the source.)
- Does it resemble an existing work? (A person looked before it went outside.)
- Am I leaving a final decision to AI? (Medical, legal, financial or personnel calls stay with people.)
What is Deepent Research?#
Deepent Research is a browser-accessible LLM chat service built to refuse as little as possible. It keeps going with research that a standard AI would cut off mid-answer.
- It refuses nothing. We run uncensored and abliterated models with guardrails reduced as far as possible, so prompts a standard AI answers with "I can't help with that" still get a response (Qwen3.5 / Qwen3.8-27B-abliterated, depending on your plan).
- Your input is never used for training. What you look up is used only to provide the service, never to train AI or for any other purpose. Personal data is protected, and our privacy policy is public.
- Try it free. No GPU and no install, just open a browser. In the logged-out trial your conversation isn't saved, so you can start casually.
→ Try it free, no sign-up: https://deepentresearch.com
No question can stop research.
Frequently asked questions#
What happens if I enter personal data by mistake?#
Treat it as an incident. Note what you entered and which service, tell whoever owns information management promptly if it concerns your employer, and delete the conversation using the service's own controls if it offers them. The provider's privacy policy sets out how it handles stored data, and for a specific case ask the regulator's help desk or an adviser.
Can I use generated text as it stands?#
It is not the safe default. Check the facts, the figures and the sources, and have a person confirm it does not resemble an existing work before it goes outside. The higher the stakes of the document, the more of that checking you want on the record.
My employer bans it, but I want to use it anyway.#
Find out why the ban is there and raise it with the person who owns the rule rather than routing around it. Using it quietly breaks the internal rule and can turn an information-handling question into a disciplinary one, so the productive path is a narrow, written exception.
Does a no-filter AI change what I can hand over?#
No. Fewer refusals do not make an answer true or make it safe to enter personal data. Personal data, confidential material and final decisions stay off-limits whichever service you use; picking a service is a separate question.
Disclaimer#
This article was drafted with AI assistance and then reviewed, fact-checked, and edited by the Deepent Research team before publication.
It is provided for educational and research purposes and is not intended to encourage unlawful activity or crime.
It is general information, not legal advice: for a specific case, consult a qualified adviser or the relevant public authority.
How this note was edited and verified
We cross-check primary sources such as official documentation and papers, and organize only what the facts support.
This note was drafted with AI, then fact-checked, expanded, and edited by the operator before publication.
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