Investigate and Report Safety Incidents: The Lion Air Tragedy

The Lion Air Flight 610 crash of October 2018 serves as a tragic reminder of the importance of AI safety and responsible development. The incident, involving an erratic flight control system due to a malfunctioning sensor, highlights the need for robust safety measures and guardrails in AI systems. Understanding such incidents is crucial for harm prevention and improving AI governance. Through HISPI Project Cerebellum TAIM, contributors can collaborate to map, measure, and manage similar incidents to ensure safe and secure AI development for all.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.577, rank 1. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.551, rank 2. TAIM detail and related incidents →
GOVERN 6.2 — similarity 0.541, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/3

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.