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 incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.