English

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

History and Overview 2024-07-26 v5 Computers and Society Machine Learning Physics and Society Machine Learning

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 mathematicians, but I hope that this chapter will also be useful to others. I am not an expert about data ethics, and this chapter provides only a starting point on this wide-ranging topic. I encourage you to examine the resources that I discuss and to reflect carefully on data ethics, its role in mathematics education, and the societal implications of data and data analysis. As data and technology continue to evolve, I hope that such careful reflection will continue throughout your life.

Keywords

Cite

@article{arxiv.2201.07794,
  title  = {A Non-Expert's Introduction to Data Ethics for Mathematicians},
  author = {Mason A. Porter},
  journal= {arXiv preprint arXiv:2201.07794},
  year   = {2024}
}

Comments

A few more small tweaks. This is a book chapter. It is associated with my data-ethics lecture at the 2021 AMS Short Course on Mathematical and Computational Methods for Complex Social Systems

R2 v1 2026-06-24T08:55:38.307Z