Tool Catalogue of Tools

The Algorithmic Equity Toolkit | a set of tools for identifying & auditing public sector algorithmic systems

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Uploaded by RRI Tools on 28 May 2020
Last modified on 28 May 2020

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.

WHAT IS THE PROBLEM?

Hundreds of companies, big and small, are developing and marketing surveillance and decision-making technologies for government use. Technology can change government practices, and not always for the better. 

WHAT IS THE AEKit?

The Algorithmic Equity Toolkit (AEKit for short) is a collection of four components designed to identify surveillance and decision-making technologies used by governments; make sense of how those technologies work; and pose questions about their impacts, effectiveness, and oversight.

HOW WAS THE AEKit CREATED?

The team behind the AEKit began working in 2019 to build the capacity of community groups to analyze government technologies. The AEKit is the result of a year of collaborative work between our team and the Tech Fairness Coalition, a collective of community groups convened by the ACLU of Washington

HOW DO I USE THE AEKit?

There are four components of the AEKit. They focus on identifying and analyzing technologies that aim to automate, aid, or replace human decision-making. The components of the AEKit are intended to be used in the following order, but feel free to use them as you see fit.

  • 1. - A chart with yes/no questions to help identify whether a technology is an automated decision system or a surveillance tool, both, or neither.

  • 2.- A map that defines key terms used in the AEKit and links the relationships between the various parts of automated decision systems.

You can download the full AEKit from here:

For additional resources, see the list of frequently asked questions

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

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