Diagnosing and Addressing Emergent Harms in the Design Process of Public AI and Algorithmic Systems

Algorithmic and data-driven systems are increasingly used in the public sector to improve the efficiency of existing services or to provide new services through the newfound capacity to process vast volumes of data. Unfortunately, certain instances also have negative consequences for citizens, in the form of discriminatory outcomes, arbitrary...

Dismantling Digital Cages: Examining Design Practices for Public Algorithmic Systems

Algorithmic systems used in public administration can create or reinforce digital cages. A digital cage refers to algorithmic systems or information architectures that create their own reality through formalization, frequently resulting in incorrect automated decisions with severe impact on citizens. Although much research has identified how...

Exploring determinants influencing a service-oriented enterprise strategy: An executive management view

Due to the convergence of rapid business developments and digitization challenges firms need to become more agile. A service-oriented enterprise (SOE) strategy is an approach that decomposes an enterprise into business services that are modular, accessible, and interoperable, in which parts can be provided in-house, or outsourced to the...

A fuzzy multi-criteria decision making approach for analyzing the risks and benefits of opening data

Governments are releasing their data to the public to accomplish benefits like the creation of transparency, accountability, citizen engagement and to enable business innovation. At the same time, decision-makers are reluctant to open their data due to some potential risks like misuse, sensitivity, ownership, and inaccuracy of the data. The...

Towards generalized process patterns for detecting corruption within the government using open data

Governments are seeking for new ways to fight corruption within their own administration. The opening of data has the potential to involve citizens in detecting corruption by providing them the ability to view and analyze data about what is happening within the government. However, how open data can be used to detect corruption is not clear....