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Automated decision systems exist in a broader context of organizations, people, and related technologies. The following is a map that defines key terms used in the AEKit and links the relationships between the various parts of automated decision systems.
Input Data:
Words, photos, sounds, videos, clicks, gestures, location data or other signals or commands that a technology responds to or makes a record of.
Technologies that collect, monitor, or curate information about people, behavior, or events in order to govern their behavior.
Recorded Data:
A piece of information stored in or accessed by a technology. Input data becomes recorded data if it is stored by a technology.
Organized collections of recorded data.
Automated Decision System:
Any computerized system or process that aims to automate, aid, or replace human decision-making.
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For additional resources, see our list of frequently asked questions.
Created in collaboration with the Critical Platform Studies Group, the Tech Fairness Coalition, and the ACLU of Washington. It was initiated as a project at the Data Science for Social Good Summer Program run by the eScience Institute at the University of Washington. For a full list of our contributors, click here.

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