Falling under the radar: algorithmic bias and military applications of AI

Falling under the radar: algorithmic bias and military applications of AI

Last week, states parties met for the first session of the Group of Governmental Experts (GGE) on lethal autonomous weapon systems (LAWS) in 2024. This debate featured the GGE’s most substantive discussion to date about bias under the topic “risk mitigation and confidence building”, including around a working paper dedicated to bias by Canada, Costa Rica, Germany, Ireland, Mexico, and Panama. In this post, Dr. Ingvild Bode, Associate Professor at the Center for War Studies (University of Southern Denmark) argues that bias is as much a social as a technical problem and that addressing it therefore requires going beyond technical solutions. She holds that the risks of algorithmic bias need to receive more dedicated attention as the GGE’s work turns towards thinking around operationalisation. These arguments are based on the author’s presentation at the GGE side event “Fixing Gender Glitches in Military AI: Mitigating Unintended Biases and Tackling Risks” organised by UNIDIR on 6 March 2024.

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