Research Integrity

AI in Science: A Five-Principle Self-Assessment Framework for Ethical Research

This article introduces a five-principle self-assessment framework to help researchers navigate the ethical risks of AI in scientific research. The framework addresses human oversight, transparency, fairness, privacy, and continuous risk management, offering diagnostic questions to identify and mitigate ethical exposure.