August 15, 2025

Rethinking Scientific Integrity in the Era of Artificial Intelligence

View Full Paper

Ask AI

Bookmark

The analysis reveals significant ethical risks, including bias and the illusion of understanding caused by AI tools, threatening scientific integrity.
Findings suggest that oversight in publishing and evaluation processes needs strengthening to adapt to AI advancements in research.
Employing thematic content analysis across 13 high-impact sources from 2022-2024, pivotal issues related to AI in science were synthesized.
Recommendations include developing training frameworks and guidelines to enhance human-AI collaboration and ensure responsible research practices.

Discussion

No takes yet. Share an insight, caveat, or question.

This literature review highlights ethical risks and governance mechanisms for integrating artificial intelligence in scientific research.

Silva et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark