Merging man and machine: A legal assessment of brain–computer interfaces in armed conflict

Abstract Imagine a future where man and machine become one on the battlefield, where soldiers direct weapon systems through a neural implant. Research advances on brain–computer interfaces (BCIs) may eventually allow such control of arms at the speed of thought. This article sketches two modes of BCI-controlled weapon systems. In Mode A (active BCI), the soldier opens fire by actively imagining that he is pushing a button with his hand. By contrast, Mode B (reactive BCI) captures neural signals evoked instantly after having spotted a target, before the operator becomes consciously aware of it. If he deems the target lawful, the brain signal is translated into a command to fire. Arguing that such man–machine collaboration transforms the operating soldier into a means of warfare, this article conducts a weapon review in line with Article 36 of Additional Protocol I (AP I) to answer the question of whether BCIs can be lawfully used to control weapons in international armed conflict. Consequently, the two set-ups are reviewed on their compliance with the customary targeting principles of international humanitarian law. Since Mode B casts doubt on the amount of control that the soldier retains over his targeting decision, the concept of meaningful human control is transposed from the debate on lethal autonomous weapon systems and applied to BCIs. It is found that reactive BCIs cannot be meaningfully controlled and thus violate the principles of distinction and proportionality. Hence, reactive BCIs are unlawful under Article 36 of AP I.

Authors

Institutions

Publication Details

Journal
International Review of the Red Cross
Published
2025-03-31
DOI
https://doi.org/10.1017/s1816383125000098
Citations
1
Primary Topic
Neuroethics, Human Enhancement, Biomedical Innovations
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Merging man and machine: A legal assessment of brain–computer interfaces in armed conflict

Denise Koecke
1 citations
International Review of the Red Cross
Neuroethics, Human Enhancement, Biomedical Innovations
1.43
article

Merging man and machine: A legal assessment of brain–computer interfaces in armed conflict

Denise Koecke
article en
1 citations

Abstract

Abstract Imagine a future where man and machine become one on the battlefield, where soldiers direct weapon systems through a neural implant. Research advances on brain–computer interfaces (BCIs) may eventually allow such control of arms at the speed of thought. This article sketches two modes of BCI-controlled weapon systems. In Mode A (active BCI), the soldier opens fire by actively imagining that he is pushing a button with his hand. By contrast, Mode B (reactive BCI) captures neural signals evoked instantly after having spotted a target, before the operator becomes consciously aware of it. If he deems the target lawful, the brain signal is translated into a command to fire. Arguing that such man–machine collaboration transforms the operating soldier into a means of warfare, this article conducts a weapon review in line with Article 36 of Additional Protocol I (AP I) to answer the question of whether BCIs can be lawfully used to control weapons in international armed conflict. Consequently, the two set-ups are reviewed on their compliance with the customary targeting principles of international humanitarian law. Since Mode B casts doubt on the amount of control that the soldier retains over his targeting decision, the concept of meaningful human control is transposed from the debate on lethal autonomous weapon systems and applied to BCIs. It is found that reactive BCIs cannot be meaningfully controlled and thus violate the principles of distinction and proportionality. Hence, reactive BCIs are unlawful under Article 36 of AP I.

International Review of the Red CrossVol. 107(928)
European University Viadrina (DE)
Openalex Percentile: Top 21%
Neuroethics, Human Enhancement, Biomedical Innovations
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.