The paper presents an approach for implementing inscrutable (ie, nonexplainable) artificial
intelligence (AI) such as neural networks in an accountable and safe manner in …

The interpretation of data is fundamental to machine learning. This paper investigates
practices of image data annotation as performed in industrial contexts. We define data …

Algorithms have permeated throughout civil government and society, where they are being
used to make high-stakes decisions about human lives. In this paper, we first develop a …

Calls for responsible design in algorithmic decision-support systems, especially those used
in public services, are increasingly common. While an algorithmic system might promise …

Studies of algorithmic decision-making in Computer-Supported Cooperative Work (CSCW)
and related fields of research increasingly recognize an analogy between AI and …

Risk assessment algorithms are being adopted by public sector agencies to make high-
stakes decisions about human lives. Algorithms model “risk” based on individual client …

Artificial intelligence (AI) is transforming how governments work, from distribution of public
benefits, to identifying enforcement targets, to meting out sanctions. But given AI's twin …

Caseworkers are trained to write detailed narratives about families in Child-Welfare (CW)
which informs collaborative high-stakes decision-making. Unlike other administrative data …

Algorithms in public services such as child welfare, criminal justice, and education are
increasingly being used to make high-stakes decisions about human lives. Drawing upon …

Various due process provisions designed for use by civil servants in administrative decision-
making may become redundant when automated decision-making is taken into use in public …