Descripción: Rite Aid used facial recognition technology from October 2012 to July 2020, allegedly leading to disproportionate misidentifications of women, Black, Latino, and Asian shoppers as "likely" shoplifters. The FTC settlement prohibits Rite Aid from using this technology in stores for five years.
Entidades
Ver todas las entidadesAlleged: Unnamed developed an AI system deployed by Rite Aid, which harmed Rite Aid customers who were women , Rite Aid customers who were minorities y Rite Aid customers.
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
619
AI Tangible Harm Level Notes
Notes about the AI tangible harm level assessment
3.1 - People flagged as shoplifters by Rite Aid's facial recognition technology could be approached, asked to leave without finishing their purchases, searched, humiliated, or reported to the police.
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.
yes
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
2012
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.1. Unfair discrimination and misrepresentation
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
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