Ai's asylum gaffe: efficiency over justice

Artificial intelligence is rapidly seeping into international asylum procedures, promising faster processing and reduced backlogs. But this seemingly efficient solution risks eroding accountability in a complex system. AI systems, driven by pattern recognition, are ill-equipped to handle the dynamic and human complexities of asylum decisions.

Blurring lines between protection and security

The use of AI expands the risk of substituting human judgment, potentially undermining precise and ethical assessment. This threatens a profound shift in governance, where the line between humanitarian protection and security management is blurred.

AI translation is already embedded across security sectors, including military, defense and intelligence operations. It enables governments to analyze vast amounts of multilingual data quickly. However, the trade-off between efficiency and accuracy has not been adequately addressed in asylum procedures.

Subtle details lost in automation

Asylum decision-making requires careful interpretation across language, culture and personal experience. Credibility often hinges on subtle details such as tone, phrasing and hesitation, as well as a deeper understanding of cultural nuances. Asylum claims have been rejected on the basis of mistranslated social media posts, where the intended meaning was lost in automated rendering.

The limits of AI translation are well-documented. Systems do not