6 goof-ups that show AI is still in its diapers

Recent incidents highlight how Artificial Intelligence, despite advancements, still grapples with challenges in responsible application. From misinformation to bias, understanding and addressing these issues is key to safe and secure AI development.

Matched TAIM controls

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

MAP 2.2 — similarity 0.598, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.592, rank 2. TAIM detail and related incidents →
MEASURE 2.4 — similarity 0.589, rank 3. TAIM detail and related incidents →

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/38

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.