The erosion of human(e) judgement in targeting? Quantification logics, AI-enabled decision support systems and proportionality assessments in IHL
Publication date
2025-12
Editors
Advisors
Supervisors
Document Type
Article
Metadata
Show full item recordCollections
License
cc_by
Abstract
This article examines the growing use of artificial intelligence (AI)-enabled decision support systems in targeting operations and their implications for proportionality assessments under international humanitarian law (IHL). Emphasizing the primacy of the duty of constant care and precautions in attack as obligations that must be exhausted before and during proportionality assessments, the article advocates for a fuller understanding of civilian harm. It traces the historical trajectory of “quantification logics” in targeting, from the Vietnam War to contemporary AI integration, and analyzes how such systems may reshape decision spaces, cognitive processes and accountability within the context of armed conflict. Specifically, the article argues that over-reliance on computational models risks displacing the contextual, qualitative judgement essential to lawful proportionality determinations, potentially normalizing civilian harm. It concludes with recommendations to preserve the space that human reasoning occupies as central to IHL compliance in targeting operations.
Keywords
AI-enabled decision support systems, civilian harm, joint targeting cycle, network-centric warfare, non-combatant casualty cut-off value, proportionality, quantification logics, Sociology and Political Science, Law, SDG 16 - Peace, Justice and Strong Institutions
Citation
Dorsey, J 2025, 'The erosion of human(e) judgement in targeting? Quantification logics, AI-enabled decision support systems and proportionality assessments in IHL', International review of the Red Cross, vol. 107, no. 930, pp. 1041-1071. https://doi.org/10.1017/S1816383125100969