“Alexa, Can I Trust You?”
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Several recent incidents highlight significant security and privacy risks associated with intelligent virtual assistants (IVAs). Better diagnostic testing of IVA ecosystems can reveal such vulnerabilities and lead to more trustworthy systems.
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Currently, it is possible to develop apps for consumer voice assistants (e.g., skills for Amazon Alexa or actions for Google Assistant), but these products may be of privacy or safety concerns.
“Currently, it is possible to develop apps for consumer voice assistants (eg, skills for Amazon Alexa or actions for Google Assistant). However, these products may be of privacy [76] or safety concerns [77].”
From Voice-Based Conversational Agents for the Prevention and Management of Chronic and Mental Health Conditions: Systematic Literature Review (2021) · cites this paper as [77]
Users still lack trust in voice-based chatbots due to privacy concerns and security vulnerabilities.
“users still lack trust in voice-based chatbots [61] due to privacy concerns and security vulnerabilities [62]”
From Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior (2022) · cites this paper as [62]
AI has recently been the objective of substantial interest from policy-making and regulatory bodies, as well as in discussions and reflections on ethics, privacy management and trust.
“AI has recently been the objective of substantial interest from policy-making and regulatory bodies, as well as in discussions and reflections on ethics, privacy management and trust [21].”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [21]
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Complexity in the use of 5G technology in China: An exploration using fsQCA approach
Shah, S. K., Tang, Z., Yuan, J., Popp, J., & Acevedo-Duque, Á. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-223129 · Cited by 10 · see citing works
- Authors
- Chung, H., Iorga, M., Voas, J., & Lee, S.
- Affiliations
- National Institute of Standards and Technology (US)
- Korea University (KR)
- Venue
- Computer
- Published
- 2017
- Volume
- 50
- Issue
- 9
- Pages
- 100-104
- ISSN
- 0018-9162 (ISSN-L)
- 1558-0814
- PMC
- PMC5714311
- OpenAlex
- W2759491482
- Cited by
- 230
- References
- 4
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 12 · 2023: 27 · 2022: 38 · 2021: 49 · 2020: 42 · 2019: 28 · 2018: 14 · 2017: 1
- FWCI
- 59.54
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Computer (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
- Keywords
- virtual assistants, security vulnerabilities, privacy risks, trustworthiness, diagnostic testing, voice assistants
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