Biased Sentiment Analysis

October 26, 2017

An incident occurred involving Google Cloud's Natural Language API, which returned racist, homophobic, and antisemitic sentiment analyses. Such incidents underscore the need for safe and secure AI practices. For those interested in shaping responsible AI governance and contributing to Project Cerebellum's AI incident database, JOIN US.

This incident highlights the importance of mapping such biased outputs through HISPI Project Cerebellum TAIM (Measure function) to prevent harm and establish guardrails for AI.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.685, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.684, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.676, rank 3. TAIM detail and related incidents →

Alleged deployer: google
Alleged developer: google
Alleged harmed parties: women, minority-groups

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.