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Personal data

As explained in Starting Data Analytics with Generative AI and Python

Personally identifiable information is information that can identify a specific individual directly or when combined with other information.

Personal data is information that identifies a specific individual directly or when combined with other information. Before sending a dataset to an AI service, ask whether it contains anything that could identify people or expose private details. section 8.6.1

Treat personal data as potentially sensitive and check these safeguards before using generative AI:

  • Follow privacy regulations, company policies, and guidance from the organization responsible for the data. section 5.3.3 section 8.6.1
  • Apply anonymization or another approved treatment when appropriate; do not assume that an apparently ordinary file is safe. section 8.6.1
  • If analysis proceeds, use manageable portions, supervise each stage, and inspect the data and results for errors. section 5.3.3

Checking a data file before upload

A frequency-analysis task may involve uploading a CSV or Excel file to ChatGPT. First check whether names, contact details, or other identifying information appear in the file. If they do, stop and confirm whether anonymization and organizational approval are required; do not rely on the absence of the dataset’s usual records to establish safety, because related proprietary information can still be sensitive. section 5.3.3 section 8.6.1

How Starting Data Analytics with Generative AI and Python covers it

How deep it goes
Defines identifying information and gives practical screening, anonymization, oversight, and accountability guidance.
Examples
Uses uploaded text, CSV, or Excel files and a warning about apparently non-sensitive proprietary algorithms.
What it assumes
Requires awareness of the dataset’s context and organizational privacy guidance, while encouraging practical judgment when classification is unclear.
What you can do after
Evaluate whether data requires anonymization, approval, restricted handling, or exclusion before AI-assisted analysis.
How it connects
Connects personal data with anonymization, privacy regulations, data protection, organizational policy, and generative AI.

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This explainer was generated by Manning's knowledge graph from the text of Starting Data Analytics with Generative AI and Python. The section links point to the parts of the book it draws on.