CRFeb 10, 2014

Humanitarian Algorithms : A Codified Key Safety Switch Protocol for Lethal Autonomy

arXiv:1402.2206v12 citations
Originality Synthesis-oriented
AI Analysis

This addresses safety and legal compliance issues for military and security applications, but it is incremental as it builds on existing regulatory techniques.

The paper tackles the problem of ensuring lethal autonomous weapons comply with International Humanitarian Law by proposing a codified key safety switch protocol, advocating for a machine learning-enabled approach to regulate such systems.

With the deployment of lethal autonomous weapons, there is the requirement that any such platform complies with the precepts of International Humanitarian Law. Humanitarian Algorithms[9: p. 9] ensure that lethal autonomous weapon systems perform military/security operations, within the confines of International Humanitarian Law. Unlike other existing techniques of regulating lethal autonomy this scheme advocates for an approach that enables Machine Learning. Lethal autonomous weapons must be equipped with appropriate fail-safe mechanisms that locks them if they malfunction.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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