AI System Rejects Asian Passport Photo, Highlighting Importance of Responsible AI

A recent incident involving an automated passport control system in Malaysia has raised concerns about the potential for biases in AI systems. The system, which is designed to scan and verify passport photos, reportedly rejected a valid Asian passport due to the traveler's ethnicity. This incident underscores the need for safeguards and guardrails in AI development to prevent such occurrences. By fostering trustworthy AI practices and maintaining a focus on harm prevention, we can ensure that AI systems are safe, secure, and respectful to all users.

Matched TAIM controls

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

MAP 1.6 — similarity 0.510, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.497, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.494, 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.