Autonomy in Conflict: Technology, Complexity, Ethics, and Policy Implications

被引:0
作者
Norlander, Arne [1 ,2 ]
机构
[1] NORSECON AB, Stockholm, Sweden
[2] Rabdan Acad, Human Factors Capabil Technol Grp, European Def Agcy Assistant Prof, Nongovt Expert, Abu Dhabi, U Arab Emirates
关键词
Cognitive systems; Complexity theory; Autonomous systems; Uncertainty; Sensor systems; Europe; Ethics; Decision making; Computer architecture; Cognition; Artificial intelligence; cognitive systems; complexity; human-autonomy teaming; responsibility; ethics; policy;
D O I
10.1109/ACCESS.2025.3571225
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The transformative role of autonomy-relevant technologies in modern conflict is examined, focusing on technological advancements, complexity, ethics and policy implications. The foundations of autonomous capabilities in conflict comprise high-grade, autonomy-relevant technologies that integrate human-machine interactions. Key technological milestones include AI-powered systems, component miniaturization, and enhanced data processing capabilities, enabling autonomous systems to perform complex tasks with increased precision and speed. Autonomy provides substantial value for intelligence gathering, surveillance, and targeted strikes, significantly impacting modern conflicts and offering benefits such as reduced risk exposure, accelerating decision-making in time-critical operations, enhanced precision, speed, persistence, endurance, and scale. Autonomy reduces cognitive operator load and enables missions that would otherwise be unfeasible or unaffordable. This work addresses system complexity challenges, which can hinder human operators in predicting behavior, intervening when necessary, and maintaining effective and meaningful control. Trust, transparency, ethical considerations, and interdependence between human operators and autonomous systems are essential for effective deployment. European initiatives, such as the European Defence Agency's Action Plan on Autonomous Systems, emphasizes the necessity for developing autonomous technologies for military capabilities, underscoring the requirement for long-term investments in scientific research, training, and innovation to maintain a strategic advantage. Emerging technologies, such as neuromorphic processing and machine learning, are fundamental for developing future autonomous systems capable of adapting to dynamic environments and executing missions with minimal human intervention. In conclusion, the evolution of autonomous technologies represents a paradigm shift, necessitating robust ethical and policy frameworks and continuous innovation to address the complexities of modern conflict.
引用
收藏
页码:90489 / 90498
页数:10
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