Scholarlink

The events of September 11th in New York sparked fears of a nuclear attack with even more devastating consequences. In response, a defense-in-depth strategy was developed to reduce the likelihood of such a catastrophe. At the heart of this strategy lies artificial intelligence (AI), serving as the foundational cornerstone for various technologies. This paper examines the role of AI-empowered software in enhancing nuclear security within metropolitan areas, specifically addressing the challenges of analysis and the solutions provided by AI-integrated radiation sensors. However, these advancements come with ethical concerns and trade-offs regarding the use of AI-empowered software in sensors applicable to nuclear security domain.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Preventing a Nuclear September 11th: Challenges, Solutions, and Concerns in AI-Empowered Analysis Software in Sensors

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Miltiadis Alamaniotis

摘要

The events of September 11th in New York sparked fears of a nuclear attack with even more devastating consequences. In response, a defense-in-depth strategy was developed to reduce the likelihood of such a catastrophe. At the heart of this strategy lies artificial intelligence (AI), serving as the foundational cornerstone for various technologies. This paper examines the role of AI-empowered software in enhancing nuclear security within metropolitan areas, specifically addressing the challenges of analysis and the solutions provided by AI-integrated radiation sensors. However, these advancements come with ethical concerns and trade-offs regarding the use of AI-empowered software in sensors applicable to nuclear security domain.