Artificial Intelligence in Research
Artificial Intelligence (AI) is a key technology: it offers new opportunities in science, but also poses challenges for research and teaching, e.g. in terms of creativity, innovation, assessments and publications. At the same time, speed and scale of its progress brings continuous change.
Research activities must be based on the “principles of good scientific practice”, transparency, and research integrity. Scholars should always be aware of their own responsibility for the integrity of content created by or with the help of AI tools.
Below are recommendations and guidelines to help you familiarize yourself with the possibilities and limitations of AI in academic work.
DFG Information Page on AI in Science
DFG Information for Researchers: Artificial Intelligence in the Review Process and further information
DFG Code of Conduct: “Guidelines for Safeguarding Good Research Practice”
DFG Perspectives on AI and Open Access:
Part I: The Role of Artificial Intelligence in Research Practice
Part II: Relations between Open Science and Artificial Intelligence
Part III: Data Tracking and Artificial Intelligence