Education: Ethics in Data Science & Data Science Education


Mission

The New England Statistical Society Education Committee Subcommittee on Ethics in Data Science and Data Science Education's mission is to help establish ethics as a first-class area of investigation within the field of data science, to contribute to the construction and adoption of ethical frameworks for data scientists, and to promote the study of ethics in data science curricula. Towards these ends the subcommittee plans on creating forums for the discussion of ethics in data science (speaker series, colloquia, workshops, conferences), delivering data ethics and AI fairness training courses (both theoretical and applied), and researching and advocating for the inclusion of ethics in data science curricula. It is our hope that by promoting ethics in data science and data science education, our organization (NESS) will contribute to a more fair, just, truthful and peaceful society.

NESS Colloquium Special Series on Ethics in Data Science

The New England Statistical Society Colloquium Special Series on Ethics in Data Science will be a short series of lectures on broad topics in ethics in data science and ethics in data science education. Potential topics include but are not limited to,

  • Philosophical Foundations of Ethics as they Relate to Data Science
  • Establishing an Ethical Framework for Data Science
  • Data Ethics Policies, Regulation and Law
  • Data Collection Methods
  • Data Privacy
  • Data Ethics and Social, Economic, Environmental and Political Justice (Human Rights)
  • Machine Bias & Algorithmic Fairness
  • Ethics in Data Science Curricula
  • Teaching Ethics in Data Science
It is our hope that these events serve as a catalyst to begin a broader discussion on data ethics among our membership, our peers, and society at large. Through this initiative and those that follow, NESS hopes to help establish ethics as a first-class area of investigation within the field of data science, to contribute to the construction and adoption of ethical frameworks for data scientists, and to promote the study of ethics in data science curricula.

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