AI can help ZVM Labs structure ideas, edit text, and find gaps faster. But AI is not the decision-maker, does not replace fact checking, and is not responsible for published material.

This policy explains how AI may be used on the blog and which boundaries remain fixed.

Short Version

  • Final responsibility for materials remains with the author.
  • Technical claims, legal references, security conclusions, and recommendations should be checked.
  • Confidential data, secrets, tokens, third-party personal data, and NDA-covered materials must not be submitted to AI without a lawful basis and permission.
  • If AI materially affects the method, structure, or conclusion of a material, that should be disclosed in the text.
  • AI is not used for hidden reader manipulation, discriminatory profiling, or automated decisions about people.

Regulatory and Professional References

ZVM Labs uses these documents as references for responsible AI practice:

Where AI May Help

AI may be used for:

  • drafts, outlines, and structure;
  • simplifying complex explanations;
  • translation or adaptation between Ukrainian and English;
  • finding gaps in reasoning;
  • preparing checklists;
  • editing tone, clarity, and readability;
  • technical documentation support, when the result is checked.

What AI Should Not Do

AI should not:

  • invent sources, facts, test results, or certifications;
  • create a misleading impression of legal, financial, or professional advice;
  • replace manual verification of commands, code, security conclusions, or legal references;
  • process sensitive or confidential data without permission;
  • generate instructions for harm, unauthorized access, data theft, or bypassing protections;
  • secretly influence advertising or partner materials.

Verification Before Publication

Before publishing AI-assisted material, check:

  • whether sources are real and relevant;
  • whether the text contains exaggeration or false confidence;
  • whether facts, assumptions, and conclusions are separated;
  • whether secrets, personal data, or confidential fragments leaked into the text;
  • whether the scope and limits are clear;
  • whether an AI disclosure is needed for the reader.

AI Disclosure

Disclosure is needed if AI materially affected:

  • the research method;
  • structure or conclusions;
  • translation that may change meaning;
  • examples, tables, diagrams, or policies;
  • risk analysis or decisions.

Plain disclosure example:

1

AI assistance: this material was structured or edited with AI support. Final claims, sources, and conclusions were reviewed by the author.

Data and Confidentiality

Do not submit the following to AI:

  • passwords, private keys, API tokens, or session cookies;
  • identity documents;
  • third-party personal data without a lawful basis;
  • internal employer materials;
  • NDA-covered materials;
  • vulnerabilities in real systems before an agreed responsible disclosure process.

More details are available in Privacy and Policies.

Contact

If you see an AI-related error, an unchecked claim, or a material that needs clearer AI disclosure, contact [email protected].

Last updated: June 12, 2026.