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Framework for responsible LLM use in research: delegation, verification, epistemic value

arXiv proposes ethical guardrails for delegating scientific reasoning to LLMs (literature synthesis, hypothesis generation, coding). Establishes when delegation is valid vs. risks losing epistemic rigor, traceability, and accountability.

WHY IT MATTERS

BFSI research teams (risk modeling, regulatory analysis, data science) increasingly use LLMs. Framework translates to: when can LLM output replace human reasoning vs. when does delegation introduce hidden bias, unverifiable steps, or liability gaps?

Source: arXiv · 2026-08-27

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Framework for responsible LLM use in research: delegation, verification, epistemic value — ath — AITechHive