Explanation and trust: what to tell the user in security and AI?
Open accessAbstract
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.
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- Authors
- Pieters, W.
- Affiliations
- University of Twente (NL)
- Corresponding author
- Pieters, Wolter
- ORCID
- Pieters, Wolter
- Venue
- Ethics and Information Technology
- Published
- 2010-11-03
- Volume
- 13
- Issue
- 1
- Pages
- 53-64
- ISSN
- 1388-1957 (ISSN-L)
- 1572-8439
- OpenAlex
- W2133761762
- Cited by
- 153
- References
- 46
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 17 · 2023: 15 · 2022: 28 · 2021: 19 · 2020: 13 · 2019: 6 · 2018: 4 · 2017: 6 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 3
- FWCI
- 1.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Ethics and Information Technology (publishedVersion, cc-by-nc)
- University of Twente Research Information (publishedVersion)
- University of Twente Research Information (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Stichting voor de Technische Wetenschappen
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Keywords
- explanation, trust, artificial intelligence, information security, expert systems, electronic voting, justification of decisions, actor-network theory, systems theory, informed consent, dissent, division of responsibilities, AI ethics
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