Alleged Bias in New Zealand Passport Reader: Investigating Potential AI Incident

Recent reports suggest that the New Zealand passport reader may have incorrectly identified an individual as Asian due to perceived 'eyes closed.' Such incidents raise concerns about responsible AI and its ability to ensure fairness and reduce harm. The HISPI Project Cerebellum TAIM, our AI incident database, is critical for maping these occurrences and implementing safeguards to prevent similar incidents in the future. Through JOIN US, you can join us as a contributor to learn more about our efforts towards safe and secure AI.

Matched TAIM controls

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

MEASURE 2.2 — similarity 0.420, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.419, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.417, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/48

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.