The Tech > Emerging tech > Artificial Intelligence > Automated Decision-making Systems (ADS) - (7)

"Automated decision systems (ADS) gather and evaluate information about a situation, determine the need for a decision, identify or develop relevant alternative courses of action, select an action, and then apply the action as a solution." - Luanne Burns Chamberlain, Lauren Eisenberg Davis, Martin Stanley, & BrianGattoni in "Automated Decision Systems for Cybersecurity and Infrastructure Security"

Automated Decisionmaking Systems and other AI go so far as to make decisions at scale. These systems can have deep impacts on communities. For example, ""Computer algorithms have made eligibility decisions about almost all of the 92 million low-income people in the United States when they enroll in programs such as Medicaid, Medicare, and SNAP." - AI and Government Workers: Use Cases in Public Administration. By Samantha Shorey for the Roosevelt Institute (2025)"

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The Inscrutable Code? The Deficient Scrutiny Problem of Automated Government

This paper argues that automated decision-making in UK public administration lacks adequate scrutiny, and proposes regulatory safeguards through mandatory pre-deployment impact assessments and algorithmic auditing to strengthen accountability in Parliament and the courts.

Algorithmic Transparency Recording Standard

Algorithmic Transparency Recording Standard

United Kingdom of Great Britain and Northern Ireland 🇬🇧

The Algorithmic Transparency Recording Standard (ATRS) establishes a standardised way for public sector organisations to publish information about how and why they are using algorithmic tools.

Suspicion Machines

Lighthouse Reports series reveals discrimination in welfare surveillance algorithms

Responsible Use of Decision-Making Algorithms in the Public Sector: a Case Study Approach

Course designed and taught by Soizic Pénicaud at Sciences Po Paris’ Graduate School of Public Affairs in September-December 2021, 2022, 2023, 2024.

Inescapable AI

Inescapable AI

Los Angeles

Employing a broad definition of AI, this report represents the first known effort to comprehensively explain and quantify the reach of AI-based decision-making among low-income people in the United States.

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