arXiv (All)
open access
Beyond "Made with AI": Visualizing Provenance Density to Mitigate the Transparency Penalty
As generative AI makes polished prose cheap to produce, users can no longer rely on fluency as a proxy for truth. We call this failure mode the Fluency Trap: users trust fluent hallucinations while also discounting accurate content once it is disclosed as AI-generated. Binary ``Made with AI'' labels
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Implied Authenticity Effect? The Impact of Explicit Labels on AI-Generated Content#240543
- The Credibility Illusion: When AI Writing Fluency Undermines Human Fact-Checking#253459
- Proof-of-Authorship for Diffusion-based AI Generated Content#1049773
- DraftTrace: A Multi-View Analytics Environment for AI-Integrated Writing#1131745
- Authorship Transparency Statement (ATS) Framework: A Technical Standard for the Multi-Tiered Disclosure of Generative AI in Creative Works#79607
Record · ID 926379
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive