Artificial Intelligence Safety and Security
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 60
Special Issue Editors
Interests: AI safety and security; process safety; OT cybersecurity
Interests: distributed sensor fusion; multi-robot systems; AI for autonomous navigation; digital transformation and its socioeconomic impact
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is increasingly embedded in engineering applications across diverse fields, including healthcare, manufacturing, energy, transportation, and information systems. While AI systems enable breakthroughs in automation, predictive analytics, and decision-making, they also raise concerns related to safety (system reliability, human–AI conflict, risk of unintended harm) and security (cyber threats, adversarial attacks, data integrity).
This Special Issue on “Artificial Intelligence Safety and Security” seeks to showcase cutting-edge research addressing both challenges. We invite contributions that propose new theories, frameworks, and practical solutions to ensure that AI-enabled systems are robust, resilient, and trustworthy in engineering and applied domains.
Potential topics of interest include, but are not limited to, the following:
- AI safety frameworks and risk evaluation methods;
- Cybersecurity and resilience in AI-driven systems;
- Adversarial AI and defense strategies;
- Machine learning for safety-critical decision-making;
- Human–AI collaboration and conflict resolution;
- AI safety and security in healthcare, smart manufacturing, energy, and transportation;
- Industry 4.0/5.0 applications with secure and reliable AI integration.
We invite submissions of original research, case studies, and reviews that contribute to the advancement of safe and secure deployment of AI across engineering disciplines.
Dr. Rajeevan Arunthavanathan
Dr. Thumeera R. Wanasinghe
Guest Editors
Manuscript Submission Information
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Keywords
- AI safety and security
- adversarial AI
- responsible AI
- machine learning in safety-critical systems
- human–AI interaction
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