Reflecting on 2018: Ten Pivotal AI Incidents

In the fast-paced world of Artificial Intelligence, it's crucial to learn from past experiences. Here are ten significant AI incidents from 2018 that underscore the importance of responsible AI governance and safe and secure AI practices. From autonomous vehicle mishaps to misleading news, these incidents serve as reminders for the need for trustworthy AI guardrails. JOIN US to contribute to HISPI Project Cerebellum TAIM – Manage – and help shape a safer, more responsible future for AI.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.677, rank 1. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.645, rank 2. TAIM detail and related incidents →
MEASURE 3.3 — similarity 0.637, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/37

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.