Scientific Development Research

Becoming a common phenomenon, the application of artificial intelligence in auxiliary scientific research work, at the same time, has triggered new academic integrity issues. To address the integrity dilemmas of AI-assisted scientific research, it is necessary to solve some problems such as academic subject and responsibility, reliability and originality of scientific research results, group differences and imbalance of academic fairness, and insufficient adaptation of traditional governance. Based on the current situation and research progress at home and abroad, this paper explores the causes from the perspectives of institutional supervision, technological iteration, ecological impact and normative cognition, and puts forward corresponding countermeasures. It could effectively regulate and alleviate pressures from the institutional, technological, educational and humanistic levels, providing theoretical and practical support for maintaining a healthy academic ecology and balancing AI innovation empowerment with the bottom line of academic integrity.

Artificial intelligence; Scientific research; Academic integrity; Governance pathway