Consequences

Systemic Data Ethics Framework: A Stable Foundation for Responsible Innovation

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Author: Peter Brownell; Publisher: Systemic Data Ethics; Publication Year: N/A. The following article and visualization establishes a framework for data ethics that can be mapped visually in a number of ways. At its core, the framework is divided into 12 distinct domains that stand up as pillars of data ethics – enough to fully encapsulate the fine issues of data ethics but still few enough to simplify the complex notion. The 12 domains are…

Ethics and Data Science

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Author: Mike Loukides, Hilary Mason, DJ Patil; Publisher: O’Reilly; Publication Year: 2018. The following book focuses on implementing ethical guidelines into data scientists’ daily work. The authors provide 5 framing guidelines: consent, clarity, consistency, control, and consequences. It is important that the authors address the whole cycle of data science. They address ethical issues throughout data collection, modeling, model…