Module 8: Reproducibility primer for AI-driven research

This learning module explains the critical relationship between reproducibility and the trustworthiness of artificial intelligence (AI). It emphasizes the understanding of how reproducibility impacts credibility and explains the different levels of AI reproducibility that researchers may strive for. The module also elaborates on barriers, such as inconsistent data collection and lack of transparency, as well as drivers, like standardized practices and tools that can support reproducibility. Finally, it illustrates how the presented barriers and drivers interact and aims to foster an understanding of this interaction in order to enhance the reproducibility of AI systems, thereby leading to a more reliable and valuable research practice in the field of AI. The online course is available at: https://openplato.eu/course/view.php?id=546