Google Photos mislabels Black individuals as 'Gorillas': A case study on AI accountability

Recent reports have surfaced about Google Photos incorrectly labeling Black people as 'gorillas'. This incident underscores the need for responsible AI governance and trustworthy AI models in image recognition systems. The mislabeling, which occurred due to a flaw in the AI algorithm, highlights the potential harm that unchecked AI can cause. As we strive towards safe and secure AI, incidents like these serve as crucial reminders of the need for robust guardrails and the importance of the HISPI Project Cerebellum TAIM (Trusted AI Model) in ensuring accountability.

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Matched TAIM controls

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

MAP 1.6 — similarity 0.470, rank 1. TAIM detail and related incidents →
MAP 3.5 — similarity 0.460, rank 2. TAIM detail and related incidents →
MAP 5.1 — similarity 0.456, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/16

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.