SMU Data Science Review


In data science domains, ethics and ethical approaches are important to minimize adverse effects that may arise in data collection, analysis, and storage. What factors are influential for ethical practices in data science? In this research study, we designed a survey to capture an assessment of ethical concerns and practices from those currently active in the field by soliciting the attitudes/feelings of data science students and practitioners via the questionnaire. We analyzed the extent of their attitudes and identified factors contributing to the difference.

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License