An image banner that reads: fill in the blank, algorithmic equity toolkit.
Automated decision systems consist of multiple interrelated parts. The organizations responsible for these systems are often not transparent about this complexity. To intervene in the use of these systems, it can be useful to analyze different parts’ origins, intents, and impacts.

With a specific automated decision system in mind, fill in the blanks below with your best guesses and any information that is easily accessible online. Try to write a couple guesses for each of the larger blanks!
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or download the full AEKit here:
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.

Graphic design, web design, and content strategy by micah epstein.