English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This chapter explores moral responsibility for civilian harms byhuman-artificial intelligence (AI) teams. Although militaries may have some badapples responsible for war crimes and some mad apples unable to be responsiblefor their actions during a conflict, increasingly militaries may 'cook' theirgood apples by putting them in untenable decision-making environments throughthe processes of replacing human decision-making with AI determinations in warmaking. Responsibility for civilian harm in human-AI military teams may becontested, risking operators becoming detached, being extreme moral witnesses,becoming moral crumple zones or suffering moral injury from being part oflarger human-AI systems authorised by the state. Acknowledging military ethics,human factors and AI work to date as well as critical case studies, thischapter offers new mechanisms to map out conditions for moral responsibility inhuman-AI teams. These include: 1) new decision responsibility prompts forcritical decision method in a cognitive task analysis, and 2) applying an AIworkplace health and safety framework for identifying cognitive andpsychological risks relevant to attributions of moral responsibility intargeting decisions. Mechanisms such as these enable militaries to designhuman-centred AI systems for responsible deployment.

Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams