Author: Peter Brownell
Publisher: Systemic Data Ethics
Publication Year: N/A
Summary: 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 strategy, fairness, agency, accountabulity, infrastructure, materials, transparency, application, compliance, sustainability, consequences, and inclusivity. Each of these domains is then divided into 1 of 4 dimensions (3 in each dimension) that are based on the quadrants of Integral Theory: intention, implementation, information, and implication. Through this, a systemic, geometric approach to categorizing data ethics priorities is created.