The increased use of AI for warfighting has given rise to worries about the so-called responsibility gap, namely the worry that when things go wrong (e.g., a disproportionate number of civilians are killed by an AI-enabled weapon) we might not know who to hold responsible for that failure or, more precisely, that no individual or group involved in the AI system’s life cycle (from design to deployment) may meet the conditions for attributing responsibility when failures occur. This has led some s…
Read moreThe increased use of AI for warfighting has given rise to worries about the so-called responsibility gap, namely the worry that when things go wrong (e.g., a disproportionate number of civilians are killed by an AI-enabled weapon) we might not know who to hold responsible for that failure or, more precisely, that no individual or group involved in the AI system’s life cycle (from design to deployment) may meet the conditions for attributing responsibility when failures occur. This has led some scholars to argue that such weapons (ones that have a responsibility gap) cannot be justifiably deployed. This paper, following recent work in the field, challenges the assumption that the responsibility gap is a singular, univocal problem, arguing instead that multiple, distinct responsibility gaps exist, and that they can be categorized along different conceptual, meta-theoretical, and normative lines. The paper specifically argues that the meta-theoretical/pre-theoretical question is essential and that the first question we need to ask is what is the purpose of trying to attribute responsibility for a particular outcome or action—is it so that we can assign blame, justify punishment, determine liability to defensive harm, ground accountability of some type, or something else. Being clear about the purpose of assigning responsibility can profoundly shape how we understand, and ought to respond to, potential responsibility gaps. Ultimately, the paper argues that the justified deployment of warfighting AI requires understanding which types of gaps are relevant, why they matter, and how they might be addressed through tailored socio-technical implementation mechanisms.