Key points are not available for this paper at this time.
The paper elaborates on the responsible use of AI in social science research. It outlines the principles of responsible AI use in research, namely: transparency, traceability/auditability, explainability, fairness, privacy and data protection, respect and awareness of the broader AI impacts, human oversight and quality control, and accountability. It delves into the responsible AI use in each step of the research process from ideation to manuscript evaluation. The paper formulates specific recommendations for authors, PhD students, early career researchers and PhD programmes, publishers, funders, and policymakers related to responsible AI use in research. Finally, the paper sketches the future prospects of AI use in research and future research directions.
Stanislav Ivanov (Tue,) studied this question.