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Human-generated data

Why AI needs human-generated data.

Quick answer

Human-generated data is content created directly by people: writing, conversations, decisions, annotations, code and judgments. AI developers need it because it carries human reasoning, expertise and preferences that models learn to imitate and are evaluated against. Researchers have also reported that training models repeatedly on model-generated output can degrade quality, which keeps human data in demand.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

What counts#

  • Expert writing and documentation
  • Conversations between people (support, sales, consultations)
  • Decisions with outcomes (approvals, diagnoses, resolutions)
  • Code written and reviewed by engineers
  • Ratings, rankings and corrections (human feedback)

Where businesses hold it#

Most operational systems are full of human-generated data: ticketing tools, CRMs, email, document management, code repositories and QA systems.

What makes it valuable#

  • Expertise of the people involved
  • Link to outcomes
  • Consistency and volume
  • Clear rights and consents

Related#

Related resources

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