NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study
Agentic research systems are emerging as a new paradigm for coordinating scientific workflows beyond isolated model inference, code generation, or statistical analysis. However, deployment in institutional biomedical environments requires governed mechanisms for research planning, data access, workflow orchestration, evidence tracking, reproducibility, and human oversight. We present NVAITC AI Scientist (NAIS), a governed end-to-end agentic research system designed to support domain-general scie
Record details
Published: 13 July 2026
Source: arXiv
Category: Research
Topics: Privacy · Agents & autonomy · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (13 July 2026), “NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study,” evidence record 22, https://ethics.ai/record/22 (originally published by arXiv).
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