Google Apologizes for Bias in Sentiment Analyzer Tool

Google has acknowledged a bias in its Sentiment Analyzer tool, a machine learning model used to classify the sentiment of text data. The discovery highlights the importance of responsible AI governance and guardrails to ensure safe and secure AI operations. Google has committed to improving its AI systems and invites contributors to join their efforts through JOIN US.

Matched TAIM controls

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

MEASURE 2.11 — similarity 0.546, rank 1. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.519, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.498, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/14

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.