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Giving Interview Materials to AI: Remove Unnecessary Personal Information First

Before handing over interviews to AI for sorting, which information is irrelevant to this task, and which corresponding relationships need to be saved separately? This article starts with working copies and stable numbers, sorting out the risks of omissions in file names, pictures, and texts, and explains how to retain the source and items to be confirmed, so that the requirements analysis can be returned to the approved record, and it will also facilitate the handover of data after completion.

Chinese edition published 17 Oct 2026 · 阅读中文原文 ↗

Source timingThe public information webpage is verified as of 2026-10-17; please refer to the source for the original date.

First determine what to answer in this arrangement

Interview sorting often only requires understanding needs, usage habits and problems, and does not need to deal with identity documents, home addresses or irrelevant contacts at the same time. The official text of the Personal Information Protection Law provides the basis for data processing boundaries. This article gives work design suggestions and cannot replace the judgment of specific processing activities.

Divide the data into working copies and corresponding tables

List permitted uses, purposes, recipients, and storage arrangements before you begin. The working copy replaces name, phone number and other information irrelevant to the task with stable numbers; the number correspondence table is kept separately to avoid being pasted into the model together. Keep the scope of access to the original records and do not use "convenience of organization" as a reason for expanding their use.

Check randomly before and after processing: whether the contact information in the picture is missing, whether the name is retained in the file name, and whether the content of different people is mistakenly merged. The AI-generated demand summary must be able to return to the original approved record without adding inferred occupation, income or identity to the user profile.

What to look for in acceptance

Delivery data catalog, number description, summary and matters to be confirmed; recovery correspondence required by the customer shall be completed by authorized personnel. After the task is completed, copies and backups will be processed as agreed. Extended reading: Exhibition lead followup project.

Sources and editorial notes

Web page data verification: 2026-10-17. AI-assisted data compilation and writing, ChinaOPC independent organization for expression and analysis, off-site interviews or original text reprinting. The work steps and acceptance samples are recommended by ChinaOPC. They need to be tried with approved materials and do not pretend to be delivered to a verified customer. Tool functions, deployment conditions and data processing rules are subject to the current official documents. English translation of the Chinese edition, prepared with machine assistance and editorial checks. Source verification dates refer to the original Chinese research.

Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.

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