copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Military AI Needs Technically-Informed Regulation to Safeguard AI . . . Abstract Military weapon systems and command-and-control infrastructure augmented by artificial intelligence (AI) have seen rapid development and deployment in recent years However, the sociotechnical impacts of AI on combat systems, military decision-making, and the norms of warfare have been understudied
[2401. 03408] Escalation Risks from Language Models in Military and . . . Governments are increasingly considering integrating autonomous AI agents in high-stakes military and foreign-policy decision-making, especially with the emergence of advanced generative AI models like GPT-4 Our work aims to scrutinize the behavior of multiple AI agents in simulated wargames, specifically focusing on their predilection to take escalatory actions that may exacerbate
Military AI Needs Technically-Informed Regulation to Safeguard AI . . . Military weapon systems and command-and-control infrastructure augmented by artificial intelligence (AI) have seen rapid development and deployment in recent years However, the sociotechnical impacts of AI on combat systems, military decision-making, and the norms of warfare have been understudied We focus on a specific subset of lethal autonomous weapon systems (LAWS) that use AI for
Neuro-Symbolic AI for Military Applications - arXiv. org This paper explores the potential applications of Neuro-Symbolic AI in military contexts, highlighting its critical role in enhancing defense systems, strategic decision-making, and the overall landscape of military operations
Escalation Risks from Language Models in Military and Diplomatic . . . Given the high stakes of military and foreign-policy contexts, we recommend further examination and cautious consideration before deploying autonomous language model agents for strategic military or diplomatic decision-making Figure 1: Experiment Setup
On Large Language Models in National Security Applications Military physicians may receive decision support from LLMs, provided these systems have been tuned to the realities of combat Likewise, LLMs may support the decision-making of military commanders via automatic summarization, sentiment analysis, and topic modeling, provided they have been trained on domain-specific vocabulary, acronyms, and jargon
Re-Envisioning Command and Control - arXiv. org My first military occupational specialty in the Army was data wrangling I examined battlefield data, e g , images and audio, and compared them to the machine’s interpretations At first it was simple stuff like targets, but over time the machines got better, and later I looked at whole phases of an operation for concepts like danger
AI-Driven Tactical Communications and Networking for Defense: A Survey . . . The integration of Artificial Intelligence (AI) in military communications and networking is reshaping modern defense strategies, enhancing secure data exchange, real-time situational awareness, and autonomous decision-making This survey explores how AI-driven technologies improve tactical communication networks, radar-based data transmission, UAV-assisted relay systems, and electronic
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed . . . Tactical operations involve coordinated activities in a specific area or environment, typically in a military, law enforcement, or strategic context, focusing on achieving short-term objectives through rapid decision-making, adaptation to dynamic situations, and the application of military skills and resources within a localized area and
Defense Priorities in the Open-Source AI Debate Arguments over model regulation are couched in national security language but should involve a broader swath of national security practitioners, including defense acquisition professionals [note:52] Accordingly, DOD elements, including the CDAO, should independently assess the national capacity to develop AI-powered systems and the impact of