Designing trust into online experiences
Communications of the ACM
Government: a better ballot box?
IEEE Spectrum - The amazing vanishing transistor act
Electronic voting system usability issues
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Revised Papers from the 8th International Workshop on Security Protocols
Trust in Electronic Environments
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Communications of the ACM - Blueprint for the future of high-performance networking
Genomic Research and Data-Mining Technology: Implications for Personal Privacy and Informed Consent
Ethics and Information Technology
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
RIES — Internet Voting in Action
COMPSAC '05 Proceedings of the 29th Annual International Computer Software and Applications Conference - Volume 01
Explanation in Case-Based Reasoning---Perspectives and Goals
Artificial Intelligence Review
A Case-Based Explanation System for Black-Box Systems
Artificial Intelligence Review
Trust building with explanation interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
Freedom and Privacy in Ambient Intelligence
Ethics and Information Technology
IEEE Security and Privacy
Toward establishing trust in adaptive agents
Proceedings of the 13th international conference on Intelligent user interfaces
A Study into Preferred Explanations of Virtual Agent Behavior
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Acceptance of voting technology: between confidence and trust
iTrust'06 Proceedings of the 4th international conference on Trust Management
Mapping goals and kinds of explanations to the knowledge containers of case-based reasoning systems
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
ICISC'05 Proceedings of the 8th international conference on Information Security and Cryptology
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There is a common problem in artificial intelligence (AI) and information security. In AI, an expert system needs to be able to justify and explain a decision to the user. In information security, experts need to be able to explain to the public why a system is secure. In both cases, an important goal of explanation is to acquire or maintain the users' trust. In this paper, I investigate the relation between explanation and trust in the context of computing science. This analysis draws on literature study and concept analysis, using elements from system theory as well as actor-network theory. I apply the conceptual framework to both AI and information security, and show the benefit of the framework for both fields by means of examples. The main focus is on expert systems (AI) and electronic voting systems (security). Finally, I discuss consequences of the analysis for ethics in terms of (un)informed consent and dissent, and the associated division of responsibilities.