Executive Summary
This article proposes a schematic framework for defining Autonomous Weapon Systems (AWS), arguing against a singular definition due to the diverse nature and applications of these systems. It critiques existing
Why It Matters
This document is crucial for defense analysts and policymakers as it provides a structured approach to defining autonomous weapon systems, which is essential for effective regulation, doctrine development, and ethical considerations in military applications.
Key Takeaways
- A single, universally agreed-upon definition for Autonomous Weapon Systems (AWS) is impractical; a flexible, purpose-driven definitional framework is needed.
Source evidence · PDF page 3
Our aim is thus to develop a non-prejudicial, generally acceptable, and practically useful definitional schema, but not to advocate for anything beyond that.
- The proposed base definition for AWS focuses on machine-based weapon systems that can identify, select, and engage targets without contemporaneous human input, assuming proper functioning.
Source evidence · PDF page 18
Autonomous Weapon Systems (base definition): Machine-based weapon systems that, if properly functioning, once activated, can identify, select, and engage targets without contemporaneous human input.
- Refined definitions should be modular, allowing for the addition of specific characteristics like autonomy level, functions (e.g., F2T2EA phases), lethality, target class, locomotion, and operational domains (e.g., EW, cyber).
Source evidence · PDF page 29
As no single view is likely to be fully satisfactory, the central concern should be whether definitions are fit for purpose.
Strategic Relevance
The development of a modular definitional framework for AWS is strategically relevant for guiding international arms regulation, military doctrine, and ethical debates, ensuring that definitions are adaptable to evolving technology and specific use cases. This pragmatic approach helps prevent definitional stalemates that hinder progress in managing the implications of autonomous military technologies.