Author

Srimonti Dutta

IIT Guwahati

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#artificial intelligence May 2026

Mental Health AI Safety Claims Must Preserve Temporal Evidence

This paper proposes SCOPE-MH (Safety Claims Over Preserved Evidence) as a diagnostic complement to existing evaluation infrastructure and argues that evaluation preserving temporal evidence is necessary, not optional, for safety-critical mental health AI deployment.

Srimonti Dutta, Ratna Kandala · arXiv.org · 1 citation

#natural language process... Preprint Aug 2026

Trace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World Systems

This paper introduces Trace Integrity, a deployment reliability criterion for evaluating whether the computation recorded behind an answer is explicit, executable, schema-valid, operator-faithful, replayable, answer-consistent, answer-consistent, and auditable.

Srimonti Dutta, Akshata Kishore Moharir · 0 citations