Description: Facebook’s advertisement-approval algorithm was reported by a security analyst to have neglected simple checks for domain URLs, leaving its users at risk of fraudulent ads.
Entities
View all entitiesAlleged: Facebook developed and deployed an AI system, which harmed Facebook users.
Incident Stats
Incident ID
316
Report Count
1
Incident Date
2016-06-02
Editors
Khoa Lam
Applied Taxonomies
CSETv1_Annotator-1 Taxonomy Classifications
Taxonomy DetailsIncident Number
The number of the incident in the AI Incident Database.
316
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
no
Date of Incident Year
The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank.
Enter in the format of YYYY
2016
Date of Incident Month
The month in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the month, estimate. Otherwise, leave blank.
Enter in the format of MM
06
Date of Incident Day
The day on which the incident occurred. If a precise date is unavailable, leave blank.
Enter in the format of DD
02
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
Yes
Incident Reports
Reports Timeline
medium.com · 2016
- View the original report at its source
- View the report at the Internet Archive
This story starts with Sidney Crosby. A professional hockey player and Canadian icon. I can neither confirm nor deny that I welled up like a small child at the Hockey Hall of Fame’s “Golden Goal” display (I will never forget that moment). S…
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.