Seeming Pattern of Gemini Bias and Sociotechnical Training Failures Harm Google's Reputation

February 21, 2024

Google's chatbot, Gemini, faced numerous reported bias issues upon release, resulting in problematic outputs such as racial inaccuracies, political biases, and misrepresentation of historical contexts regarding Chinese and Indian politics. The bot was also criticized for over-correcting racial diversity, advancing controversial perspectives, and prompting a temporary halt and apology from Google. This incident underscores the importance of trustworthy AI governance and the need for robust sociotechnical training to prevent such harm.

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Matched TAIM controls

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

MEASURE 2.6 — similarity 0.627, rank 1. TAIM detail and related incidents →
MEASURE 4.3 — similarity 0.622, rank 2. TAIM detail and related incidents →
GOVERN 3.1 — similarity 0.611, rank 3. TAIM detail and related incidents →

Alleged deployer: google, gemini
Alleged developer: google
Alleged harmed parties: general-public

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/645

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.