Description: Facebook's "People You May Know" (PYMK) feature was reported by a psychiatrist for recommending her patients as friends through recommendations, violating patients' privacy and confidentiality.
Entities
View all entitiesAlleged: Facebook developed and deployed an AI system, which harmed pseudonymized psychiatrist's patients , pseudonymized psychiatrist , patients and healthcare providers.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
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.
- Privacy & Security
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
Facebook's ability to figure out the "people we might know" is sometimes eerie. Many a Facebook user has been creeped out when a one-time Tinder date or an ex-boss from 10 years ago suddenly pops up as a friend recommendation. How does the …
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.
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Gender Biases of Google Image Search
· 11 reports
Fake LinkedIn Profiles Created Using GAN Photos
· 4 reports
Sexist and Racist Google Adsense Advertisements
· 27 reports
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Gender Biases of Google Image Search
· 11 reports
Fake LinkedIn Profiles Created Using GAN Photos
· 4 reports
Sexist and Racist Google Adsense Advertisements
· 27 reports