ETS Used Allegedly Flawed Voice Recognition Evidence to Accuse and Assess Scale of Cheating, Causing Thousands to be Deported from the UK

January 1, 2014

The international testing organization, ETS, has admitted to using potentially flawed voice recognition as evidence of cheating for thousands of past TOEIC test-takers. Concerns arise from the reported instances of wrongful accusations leading to deportation without an appeal process or access to incriminating evidence.

This underscores the importance of trustworthy AI, safe and secure AI practices. For those interested in shaping the future of responsible AI governance, consider joining Project Cerebellum as we strive to map, measure, and manage such incidents through the HISPI Project Cerebellum TAIM.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.684, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.669, rank 2. TAIM detail and related incidents →
MEASURE 4.2 — similarity 0.664, rank 3. TAIM detail and related incidents →

Alleged deployer: ets
Alleged developer: ets
Alleged harmed parties: uk-ets-past-test-takers, uk-ets-test-takers, uk-home-office

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/162

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.