Chatbots: Security, privacy, data protection, and social aspects
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Summary: Chatbots are artificial communication systems becoming increasingly popular and not all their security questions are clearly solved. People use chatbots for assistance in shopping, bank communication, meal delivery, healthcare, cars, and many other actions. However, it brings an additional security risk and creates serious security challenges which have to be handled. Understanding the underlying problems requires defining the crucial steps in the techniques used to design chatbots related to security. There are many factors increasing security threats and vulnerabilities. All of them are comprehensively studied, and security practices to decrease security weaknesses are presented. Modern chatbots are no longer rule‐based models, but they employ modern natural language and machine learning techniques. Such techniques learn from a conversation, which can contain personal information. The paper discusses circumstances under which such data can be used and how chatbots treat them. Many chatbots operate on a social/messaging platform, which has their terms and conditions about data. The paper aims to present a comprehensive study of security aspects in communication with chatbots. The article could open a discussion and highlight the problems of data storage and usage obtained from the communication user—chatbot and propose some standards to protect the user.
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Collecting feedback from healthcare professionals and patients can contribute to designing healthcare chatbots that align with their needs and adhere to privacy regulations.
“For example, collecting feedback from healthcare professionals and patients can contribute to designing healthcare chatbots that align with their needs and adhere to privacy regulations (Hasal et al., 2021).”
From Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation (2024) · cites this paper as Hasal et al., 2021
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- Authors
- Hasal, M., Nowaková, J., Ahmed Saghair, K., Abdulla, H., Snášel, V., & Ogiela, L.
- Affiliations
- VSB - Technical University of Ostrava (CZ)
- Department of Computer Science, Faculty of Electrical Engineering and Computer Science VSB—Technical University of Ostrava Ostrava Czech Republic
- Uniwersytet Komisji Edukacji Narodowej w Krakowie (PL)
- Corresponding author
- Nowaková, Jana
- Venue
- Concurrency and Computation: Practice and Experience
- Publisher
- Wiley
- Published
- 2021-06-03
- Volume
- 33
- Issue
- 19
- ISSN
- 1532-0626 (ISSN-L)
- 1532-0634
- OpenAlex
- W3170233936
- Cited by
- 249
- References
- 49
- Citations by year
- 2026: 40 · 2025: 70 · 2024: 79 · 2023: 41 · 2022: 16 · 2021: 3
- FWCI
- 48.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Concurrency and Computation Practice and Experience (publishedVersion, cc-by-nc-nd)
- DSpace VŠB-TUO (VŠB-TUO) (submittedVersion, cc-by-nc-nd)
- Funders
- European Regional Development Fund (CZ.02.1.01/0.0/0.0/15_003/0000466)
- Technology Agency of the Czech Republic (TN01000024)
- Vysoká Škola Bánská - Technická Univerzita Ostrava (SP2021/24)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- chatbots, chatbot security, privacy, data protection, personal data, security vulnerabilities, security practices, data storage, messaging platforms, terms of use
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