Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Découvrir
Envoyer
  • Bienvenue sur AIID
  • Découvrir les incidents
  • Vue spatiale
  • Vue de tableau
  • Vue de liste
  • Entités
  • Taxonomies
  • Soumettre des rapports d'incident
  • Classement des reporters
  • Blog
  • Résumé de l’Actualité sur l’IA
  • Contrôle des risques
  • Incident au hasard
  • S'inscrire
Fermer
Découvrir
Envoyer
  • Bienvenue sur AIID
  • Découvrir les incidents
  • Vue spatiale
  • Vue de tableau
  • Vue de liste
  • Entités
  • Taxonomies
  • Soumettre des rapports d'incident
  • Classement des reporters
  • Blog
  • Résumé de l’Actualité sur l’IA
  • Contrôle des risques
  • Incident au hasard
  • S'inscrire
Fermer

Incident 87: UK passport photo checker shows bias against dark-skinned women

Description: UK passport photo checker shows bias against dark-skinned women.

Outils

Nouveau rapportNouveau rapportNouvelle RéponseNouvelle RéponseDécouvrirDécouvrirVoir l'historiqueVoir l'historique

Entités

Voir toutes les entités
Présumé : Un système d'IA développé et mis en œuvre par UK Home Office, a endommagé dark-skinned people et dark-skinned women.

Statistiques d'incidents

ID
87
Nombre de rapports
1
Date de l'incident
2020-10-07
Editeurs
Sean McGregor, Khoa Lam
Applied Taxonomies
CSETv0, CSETv1, GMF, MIT

Classifications de taxonomie CSETv0

Détails de la taxonomie

Problem Nature

Indicates which, if any, of the following types of AI failure describe the incident: "Specification," i.e. the system's behavior did not align with the true intentions of its designer, operator, etc; "Robustness," i.e. the system operated unsafely because of features or changes in its environment, or in the inputs the system received; "Assurance," i.e. the system could not be adequately monitored or controlled during operation.
 

Specification

Physical System

Where relevant, indicates whether the AI system(s) was embedded into or tightly associated with specific types of hardware.
 

Software only

Level of Autonomy

The degree to which the AI system(s) functions independently from human intervention. "High" means there is no human involved in the system action execution; "Medium" means the system generates a decision and a human oversees the resulting action; "low" means the system generates decision-support output and a human makes a decision and executes an action.
 

Medium

Nature of End User

"Expert" if users with special training or technical expertise were the ones meant to benefit from the AI system(s)’ operation; "Amateur" if the AI systems were primarily meant to benefit the general public or untrained users.
 

Amateur

Public Sector Deployment

"Yes" if the AI system(s) involved in the accident were being used by the public sector or for the administration of public goods (for example, public transportation). "No" if the system(s) were being used in the private sector or for commercial purposes (for example, a ride-sharing company), on the other.
 

Yes

Data Inputs

A brief description of the data that the AI system(s) used or were trained on.
 

Passport IDs

Classifications de taxonomie CSETv1

Détails de la taxonomie

Incident Number

The number of the incident in the AI Incident Database.
 

87

Notes (special interest intangible harm)

Input any notes that may help explain your answers.
 

The report focused on differential treatment to black women. However, it also showed differential treatment based individually on gender and lightness of skin tone.

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
 

2020

Classifications de taxonomie MIT

Machine-Classified
Détails de la taxonomie

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

1.3. Unequal performance across groups

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.
 
  1. 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

Rapports d'incidents

Chronologie du rapport

+1
Le vérificateur de photos de passeport britannique montre un parti pris contre les femmes à la peau foncée
Le vérificateur de photos de passeport britannique montre un parti pris contre les femmes à la peau foncée

Le vérificateur de photos de passeport britannique montre un parti pris contre les femmes à la peau foncée

bbc.co.uk

Le vérificateur de photos de passeport britannique montre un parti pris contre les femmes à la peau foncée
bbc.co.uk · 2020
Traduit par IA

Selon une enquête de la BBC, les femmes à la peau plus foncée sont plus de deux fois plus susceptibles de se faire dire que leurs photos ne respectent pas les règles du passeport britannique lorsqu'elles les soumettent en ligne que les homm…

Variantes

Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.

Incidents similaires

Par similarité textuelle

Did our AI mess up? Flag the unrelated incidents

ETS Used Allegedly Flawed Voice Recognition Evidence to Accuse and Assess Scale of Cheating, Causing Thousands to be Deported from the UK

The English test that ruined thousands of lives

Jan 2014 · 1 rapport
Passport checker Detects Asian man's Eyes as Closed

Robot passport checker rejects Asian man's photo for having his eyes closed

Dec 2016 · 22 rapports
Opaque Fraud Detection Algorithm by the UK’s Department of Work and Pensions Allegedly Discriminated against People with Disabilities

DWP urged to reveal algorithm that ‘targets’ disabled for benefit fraud

Oct 2019 · 6 rapports
Incident précédentProchain incident

Incidents similaires

Par similarité textuelle

Did our AI mess up? Flag the unrelated incidents

ETS Used Allegedly Flawed Voice Recognition Evidence to Accuse and Assess Scale of Cheating, Causing Thousands to be Deported from the UK

The English test that ruined thousands of lives

Jan 2014 · 1 rapport
Passport checker Detects Asian man's Eyes as Closed

Robot passport checker rejects Asian man's photo for having his eyes closed

Dec 2016 · 22 rapports
Opaque Fraud Detection Algorithm by the UK’s Department of Work and Pensions Allegedly Discriminated against People with Disabilities

DWP urged to reveal algorithm that ‘targets’ disabled for benefit fraud

Oct 2019 · 6 rapports

Recherche

  • Définition d'un « incident d'IA »
  • Définir une « réponse aux incidents d'IA »
  • Feuille de route de la base de données
  • Travaux connexes
  • Télécharger la base de données complète

Projet et communauté

  • À propos de
  • Contacter et suivre
  • Applications et résumés
  • Guide de l'éditeur

Incidents

  • Tous les incidents sous forme de liste
  • Incidents signalés
  • File d'attente de soumission
  • Affichage des classifications
  • Taxonomies

2024 - AI Incident Database

  • Conditions d'utilisation
  • Politique de confidentialité
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • ecd56df