Heidari arXiv:2610.36116 Defines Two-Part Test for AI Task Delegation in All CRediT Phases
The framework grounds delegation rules in durable human understanding and accountable direction rather than model performance. It produces phase-specific constraints across the entire research workflow including review and training. Reforms target institutional mechanisms that currently reward automation without preserving explanatory capacity.
The paper applies its test across the full Contributor Roles Taxonomy. Human understanding demands that the community can still explain, defend, and contest every claim while preserving the underlying skills. Human direction requires that judgments on question relevance and finding significance remain with accountable humans rather than automated systems. The test is applied phase by phase rather than by tool category.
Evidence is drawn from the stated aims of science rather than current AI performance ceilings. The framework holds even if models exceed human accuracy on every benchmarked task. It diverges from prior guidance that conditions delegation on integrity norms or capability gaps. Application to peer review and researcher training extends the scope beyond standard discovery pipelines.
Operational consequence is a requirement to redesign training, review, and credit systems so that human explanatory capacity does not atrophy. Journals and funders must verify retained community skills before accepting AI-generated sections. The paper identifies specific reforms in evaluation criteria and curriculum structure needed to enforce the two conditions.
Related work on AI-driven discovery pipelines shows similar pressure points in hypothesis generation and experimental design. Deployment records from automated chemistry platforms indicate that skill erosion occurs faster than policy updates when delegation criteria remain capability-based.
Heidari: At least one major journal adopts explicit human-understanding verification for AI sections by end of 2027.
Sources (2)
- [1]Primary Source(https://arxiv.org/abs/2610.36116)
- [2]Supporting Source(https://arxiv.org/abs/2402.17764)