Description: Content moderators and employees at Facebook demand better working conditions, as automated content moderation system allegedly failed to achieve sufficient performance and exposed human reviewers to psychologically hazardous content such as graphic violence and child abuse.
Entities
View all entitiesAlleged: Facebook developed and deployed an AI system, which harmed Facebook content moderators.
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
Human
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
Intentional
Incident Reports
Reports Timeline
November 2020
Mark Zuckerberg, Sheryl Sandberg, Anne Heraty (CEO, CPL/Covalen), Julie Sweet (CEO, Accenture)
Via email and posting on Facebook’s Workplace channels
Open letter from content moderators re: pandemic
Dear Mr. Zuckerberg, Ms. Sa…
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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