A Non-Expert's Introduction to Data Ethics for Mathematicians
Mason A. Porter

TL;DR
This paper provides an accessible introduction to data ethics tailored for mathematicians, covering societal context, educational approaches, research issues, and ethical principles, aiming to foster ongoing reflection on data's societal impact.
Contribution
It offers a beginner-friendly overview of data ethics specifically for mathematicians, highlighting educational resources, societal considerations, and ethical challenges in research and data use.
Findings
Highlights importance of data ethics in mathematics education
Discusses open data, privacy, and research ethics issues
Provides resources and encourages ongoing ethical reflection
Abstract
I give a short introduction to data ethics. I begin with some background information and societal context for data ethics. I then discuss data ethics in mathematical-science education and indicate some available course material. I briefly highlight a few efforts -- at my home institution and elsewhere -- on data ethics, society, and social good. I then discuss open data in research, research replicability and some other ethical issues in research, and the tension between privacy and open data and code, and a few controversial studies and reactions to studies. I then discuss ethical principles, institutional review boards, and a few other considerations in the scientific use of human data. I then briefly survey a variety of research and lay articles that are relevant to data ethics and data privacy. I conclude with a brief summary and some closing remarks. My focal audience is…
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Taxonomy
TopicsBig Data and Business Intelligence · Ethics and Social Impacts of AI · Big Data Technologies and Applications
