Risks and Ethical Considerations in the Context of Machine Learning Research in Science Education

Abstract Besides the tremendous potentials of machine learning (ML) methods, many ethical challenges such as biased datasets with regard to gender or race have to be considered. In this chapter, a conclusive reflection on the particular challenges in science education research based on the case studies and prior research will be outlined. Paths to address these challenges will finish this chapter.