Trustworthy Artificial Intelligence Methods for Users’ Physical and Environmental Security: A Comprehensive Review

• Published in: Applied sciences Vol. 13; no. 21; p. 12068
• Main Authors: Szymoniak, Sabina, Depta, Filip, Karbowiak, Łukasz, Kubanek, Mariusz
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2023
• Subjects: Artificial intelligence; Citizens; Innovations; Intrusion-Detection Systems; Neural networks; physical and environmental security; safety and robustness; Safety and security measures; Semiconductor industry; Sensors; traffic and pedestrian safety; Trustworthy Artificial Intelligence; United States
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app132112068

Artificial Intelligence is an indispensable element of the modern world, constantly evolving and contributing to the emergence of new technologies. We meet it in everyday applications, primarily using intelligent systems that aim to improve our lives. Artificial Intelligence techniques must inspire users’ trust because they significantly impact virtually every industry and person. For this reason, systems using Artificial Intelligence are subject to many requirements to verify their trustworthiness in various aspects. This review focused on users’ physical and environmental security, considering the safety and robustness dimensions of Trustworthy Artificial Intelligence. We examined these Trustworthy Artificial Intelligence solutions and dimensions because security is one of the most-critical aspects of human life and can be considered in many different contexts. We examined the trustworthiness of Artificial Intelligence techniques in systems supporting road safety and securing computer network users. Also, we analyzed the challenges and requirements of the newly designed solutions using Trustworthy Artificial Intelligence methods. Verifying Trustworthy Artificial Intelligence solutions and their practical use will increase users’ physical and environmental security.