On Identifying Factors Affecting Ethical Practices in Data Science Domains

Authors

yanqin wang, Southern Methodist UniversityFollow
Earl Shaw, Southern Methodist UniversityFollow
Brian Kruse, Southern Methodist UniversityFollow
Mehdi GhodsFollow

Abstract

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.

Recommended Citation

wang, yanqin; Shaw, Earl; Kruse, Brian; and Ghods, Mehdi (2018) "On Identifying Factors Affecting Ethical Practices in Data Science Domains," SMU Data Science Review: Vol. 1: No. 2, Article 2.
Available at: https://scholar.smu.edu/datasciencereview/vol1/iss2/2

Creative Commons License

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