Introduction to the Minitrack on Privacy, Trust, and Governance in the Data-driven Economy

Incorporating Trust into Context-Aware Services

Enabling technologies concerning hardware, networking, and sensing have inspired the development of context-aware IT services. These adapt to the situation of the user, such that service provisioning is specific to his/her corresponding needs. We have seen successful applications of context-aware services in healthcare, well-being, and smart...

Why and How Should We Explain AI?

Why should we explain opaque algorithms? Here four papers are discussed that argue that, in fact, we don’t have to. Explainability, according to them, isn’t needed for trust in algorithms, nor is it needed for other goals we might have. I give a critical overview of these arguments, showing that there is still room to think that explainability...

To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support System

Trust is an important component of human-AI relationships and plays a major role in shaping the reliance of users on online algorithmic decision support systems. With recent advances in natural language processing, text and voice-based conversational interfaces have provided users with new ways of interacting with such systems. Despite the...

Individual Fairness Guarantees for Neural Networks

We consider the problem of certifying the individual fairness (IF) of feed-forward neural networks (NNs). In particular, we work with the ϵ-δ-IF formulation, which, given a NN and a similarity metric learnt from data, requires that the output difference between any pair of ϵ-similar individuals is bounded by a maximum decision tolerance δ ≥ 0...

Trust in Clinical AI: Expanding the Unit of Analysis

From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a...

Great Chain of Agents: The Role of Metaphorical Representation of Agents in Conversational Crowdsourcing

Conversational agents are being widely adopted across several domains to serve a variety of purposes ranging from providing intelligent assistance to companionship. Recent literature has shown that users develop intuitive folk theories and a metaphorical understanding of conversational agents (CAs) due to the lack of a mental model of the...

The Trust Game: The influence of Trust on Collaboration in the light of Technological Innovations

Adopting innovations is key for organizations to compete in a complex system, such as the transportation system. In a complex system where social (e.g. organizations) and technical (e.g. information systems) interact with each other, collaboration can be challenging. One of the barriers identified that hampers collaboration is trust. To...

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...

The governance of blockchain systems from an institutional perspective, a matter of trust or control?

Blockchain Technology is considered as a general-purpose technology with far reaching effects. As can be seen from the discussions on blockchain applications, both practitioners and researchers struggle to get to the core of blockchain technology consequences. Especially practitioners in the governmental sector explore adequate responses to...

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...

An Agent-mediated Approach to Promote Knowledge Sharing Through Enterprise Social Networks

Broadening adoption of social network tools within the enterprise suggests a new and valuable source for insight into the social structure through organizations. While online social media tools are being evolved by enterprises in recent years, the social media are used much for knowledge sharing. This paper focuses on how enterprise social...

The value (driven) web

This paper presents a vision on the importance of values and ethical aspects in web science. We create(d) the Internet, but now the Internet (technology) is shaping our world increasingly: the way we experience, interact, transact, conduct business et cetera. The Internet is ubiquitous and vital to many aspects of our society; it is substituting...