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Human Standard™ Institute Author Attestation Form

The Human Standard™ certification process is built on transparency and trust.

As part of this process, authors are asked to provide a clear and accurate account of how their work was created, including any use of artificial intelligence tools. This disclosure supports a structured evaluation that combines AI-assisted screening and independent human assessment.

Your responses will be used solely to support the verification process and will not be shared beyond what is required for certification.

You are asked to complete this form accurately and in good faith.

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Author Information (all required)

Author Name *
Email Address *
Phone Number *
Date Submitted *

Work Information (all required)

Work Title *
Word Count *
Fiction or Nonfiction *
Fiction *
Other *
Nonfiction *
Other *
Publisher (if applicable):

Contributor and Process Disclosure

Did you employ an Editor? *
Editor Name *
Editor Email
Did you have any other contributing writers? *
Writer Name(s) *
Writer Email(s) *

All listed contributors may be contacted to provide independent attestation.

Did you use spell check or grammar tools? *
Did you use AI for research (including browser-embedded AI such as Google)? *

AI Usage Disclosure

Have you used any AI tools in the creation of this manuscript? *
AI tools used (select all that apply) *
Other *

Scope of AI Involvement

Indicate all applicable uses of AI
Other *

Degree of AI Contribution

Select the statement that best reflects AI involvement in the creation (writing) of the content *

Human Editing and Transformation

If AI was used to create/write any portion of the content, please describe the extent of human revision for that content *
Optional description

Authorship Assertion

Authorship Assertion *
Author Signature *
Maximum file size: 50 MB
Date *

A Standard Built for Scale

The Human Standard™ is designed to be applied consistently across organizations producing content at volume.

We prioritize engagements with publishers seeking to implement a clear and credible approach to content transparency.