Description: An Instagram user’s image containing violent content was reportedly used as advertisement on Facebook allegedly via automated means.
Entities
View all entitiesAlleged: Facebook developed and deployed an AI system, which harmed Olivia Solon and Olivia Solon's Facebook connections.
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
Instagram is using one of my most "engaging" posts to advertise its service to others on Facebook 😂
Oh and if you want to know the backstory to the abusive emails I receive this is a good place to start
Thanks Facebook for reminding me and…
Instagram used a user’s image which included the text “I will rape you before I kill you, you filthy whore!” to advertise its service on Facebook, the latest example of social media algorithms boosting offensive content.
Guardian reporter O…
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.