Bias in Google's Sentiment Analysis API: A Cautionary Tale for Responsible AI

Google's sentiment analysis API has been found to mirror human biases, underscoring the need for trustworthy and safe AI. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Harm prevention measures are essential for maintaining guardrails for AI development. Ready to help shape responsible AI? JOIN US

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.