HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

ISWAP Reportedly Used AI Guidance to Breach Nigerian Military Base Defenses by Motorcycle

November 25, 2024

After defensive trenches stopped an ISWAP motorcycle assault on a Nigerian military base, commanders reportedly consulted an AI chatbot for guidance on adapting motorcycle-jumping techniques to cross them. Fighters practiced the maneuver, with 18 reportedly dying during training; eight mastered it, and a subsequent assault reportedly cleared the trenches. ...through contributors—JOIN US—to learn more about the implications of using AI in military tactics.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
boko-haram, terrorist-organizations, islamic-state-west-africa-province-(iswap), non-state-armed-groups
Alleged developer
chatbot-developers, large-language-model-developers
Alleged harmed parties
18-islamic-state-west-africa-province-(iswap)-fighters, military-of-nigeria, military-personnel-of-nigeria, soldiers, national-security-and-intelligence-stakeholders

AI governance case studies

For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1624

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.