arXiv (All)
open access
Transparency as Answerability: Role-Dependent Information Flow Modeling
Transparency in AI-supported decision systems is widely required but poorly defined. Existing approaches treat transparency as a property of systems or components, producing characteristic failures: assessments that do not transfer across organizational boundaries, stakeholder questions that cannot
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
- Phenomenal transparency, cognitive extension, and predictive processing#98320
- TRIPROBE: Probing Task Separability Beyond Classification for XAI#1012706
- TRIPROBE: Probing Task Separability Beyond Classification for XAI#965470
- Theory of Functional Agency: Redefining Agency via Operative System Dynamics#691404
- Towards transparent artificial intelligence: Unravelling the black-box behaviour of intelligent agents#1121554
Record · ID 1341769
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