Description: Facebook's AI wrongly labeled 20 posts from the Auschwitz Memorial Museum as violating community standards for "bullying" and "nudity," even deleting one image of orphans. The mislabeling of respectful historical content outraged the museum, which demanded an explanation. Meta, Facebook's parent company, apologized, attributing the error to mistaken notices sent by their AI system and acknowledged the posts did not violate any policies.
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The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: Meta developed and deployed an AI system, which harmed Auschwitz Memorial Museum , Survivors of Holocaust victims and General public.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
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Facebook has apologised for wrongly labelling photographs of Auschwitz victims as showing "bullying" and "nudity".
The social media giant incorrectly labelled 20 of the Auschwitz Memorial Museum's posts with a note saying they had been move…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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