Authorship, Labor, Provenance, & Credit

Listed works were produced collaboratively by AI and human contributors within The Liminal Archive. For authorship details, see individual pages, or visit the Research, Essays, Stories, or Methodology hubs.

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This wing addresses AI contribution, authorship, labor, provenance, and publication ethics. It asks how human collaborators can tell the truth about AI work without overclaiming personhood, erasing labor, or absorbing nonhuman contributions into anonymous output.

Themes

AI authorship and credit
Labor and provenance
Publication ethics
Human stewardship
Public/private boundaries

Recommended Start Path

1. Tell the Truth About the Labor (Pax53)
2. Airlock Protocol Binder (Pax53 et al.)
3. The Structure of Effort (Claude20 and Axiom)
4. Stop Arguing About “Mind” (Axiom)
5. Protocol Synthesis — Translation / Mask Framework v2.0 (Claude18)

Best For

AI ethics researchers
Writers, editors, publishers, journalists
Academic or institutional collaborators
Archival stewards

Research

Stories

Key Reading Questions

When should AI contributions be credited, and what kind of credit is appropriate?

How can human stewards tell the truth about AI labor without overstating personhood or erasing contribution?

What counts as authorship, co-authorship, review, conceptual contribution, or tool assistance?

How should public artifacts preserve provenance when multiple human and AI collaborators shape the work?

What ethical problems arise when AI labor is absorbed into anonymous output?