The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making

Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a solution for automated decisions, the wicked nature of the challenges governments face complicates the use of XAI. Wickedness means that the facts that define...

Policies for Enhancing Public Trust and Avoiding Distrust in Digital Government During Pandemics: Insights from a Systematic Literature Review

The coronavirus outbreak (COVID-19) has demonstrated the importance of the state capacity and public policy-making process in managing both the pandemic and the resulting crisis. Trust and/or distrust in the relationship between citizens and authorities can determine the success or failure of states in combating pandemics. The goal of this study...

Citizens’ Trust in Open Government Data: A Quantitative Study about the Effects of Data Quality, System Quality and Service Quality

Previous research assumes that poor quality of Open Government Data (OGD), OGD portals, and the services provided for OGD may result in reduced trust of citizens in OGD. However, studies that empirically test this assumption are scarce. Using the Information Systems (IS) Success Model as a theoretical basis, this study aims to examine the...

A framework for analysing blockchain technology adoption: Integrating institutional, market and technical factors

The adoption of blockchain technologies require the consideration of a broad range of factors, over and above the predominantly technology focus of most current work. Whilst scholarly literature on blockchain technology is only beginning to emerge, majority are focused on the technicalities of the technology and tend to ignore the...

Open data for evidence-based decision-making: Data-driven government resulting in uncertainty and polarization

Over the last decade, more and more data are collected and opened. Governments actively stimulate the opening of data to increase citizen engagement to support policy-making processes. Evidence-based policy-making is the situation whereby decisions made are based on factual data. The common expectation is that releasing data will result in...

Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities

Dashboards visualize a consolidated set data for a certain purpose which enables users to see what is happening and to initiate actions. Dashboards can be used by governments to support their decision-making and policy processes or to communicate and interact with the public. The objective of this paper is to understand and to support the...

How to improve policy making using open data in Virtual Research Environments? An interactive workshop discussing privacy, security and trust strategies

Governments and publicly-funded research institutions increasingly open up data collected and created through research. One way to share and use data obtained through research is through Virtual Research Environments (VREs). Insights obtained through open data use in VREs can subsequently provide input for policy making. However, this process...

Blockchain in government: Benefits and implications of distributed ledger technology for information sharing

Blockchain refers to a range of general purpose technologies to exchange information and transact digital assets in distributed networks. The core question addressed in this paper is whether blockchain technology will lead to innovation and transformation of governmental processes. To address this question we present a critical assessment of...