Description: An alleged Instagram algorithm malfunction caused users' Reels feeds to be overwhelmed with violent and distressing content. Many reported seeing deaths, extreme brutality, and other graphic material in rapid succession, often without prior engagement with similar content. The sudden exposure caused psychological distress for many users, with minors and vulnerable individuals particularly affected by the graphic content. Meta confirmed an AI failure was responsible and apologized.
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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 , Instagram Reels and Instagram recommendation algorithm developed and deployed an AI system, which harmed minors , Meta users and Instagram users.
Alleged implicated AI systems: Instagram Reels and Instagram recommendation algorithm
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.2. Exposure to toxic content
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.
- Discrimination and Toxicity
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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Mark Zuckerberg’s Meta has apologised after Instagram users were subjected to a flood of violence, gore, animal abuse and dead bodies on their Reels feeds.
Users reported the footage after an apparent malfunction in Instagram’s algorithm, w…
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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