Chinese Insurer Ping An Employed Facial Recognition to Determine Customers’ Untrustworthiness, Which Critics Alleged to Likely Make Errors and Discriminate

April 15, 2016

Ping An, a prominent Chinese insurance company, has been under scrutiny due to its implementation of facial-recognition technology to evaluate customers' trustworthiness. Critics claim the use of micro-expression readings and body-mass indices (BMI) may result in errors, discriminate against certain ethnic groups, and potentially harm the industry. This raises concerns about responsible AI governance and the need for guardrails.

For those interested in shaping safe and secure AI practices, JOIN US to learn more about HISPI Project Cerebellum's TAIM initiative—particularly our Manage function, which focuses on improving practices within organizations like Ping An.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.682, rank 1. TAIM detail and related incidents →
MEASURE 4.2 — similarity 0.669, rank 2. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.662, rank 3. TAIM detail and related incidents →

Alleged deployer: ping-an
Alleged developer: ping-an
Alleged harmed parties: ping-an-customers, chinese-minority-groups

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/235

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

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