TRACE-AI White Paper

Authors

  • Sadia Rehman IASRD Author
  • Muhammad Amin ur Rehman Khan Author

DOI:

https://doi.org/10.67265/trace-ai.2026

Keywords:

Trace AI, AI Governance, Algorithmic Accountability, AI Transparency, AI Ethics

Abstract

TRACE-AI is an evidence-based research intelligence platform designed to support transparent and auditable analysis of research documents. The platform aims to improve evidence traceability by linking findings to supporting source material and presenting confidence assessments and audit trails. AI assistance, where used, does not replace the evidence verification framework. TRACE-AI is guided by the core design principle: “No Evidence = No Claim.” The current release (v1.0-beta) represents an external review version intended for validation and feedback rather than a final production release. 

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Published

2026-06-16

Issue

Vol. 2 No. 1 (2026): White Papers

Section

White Papers

License

Copyright (c) 2026 Journal of Social Research Dynamics

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