Incident 100: Comment les services sociaux français créent une « robo-dette »
Description: Un bureau d'aide sociale français utilisant un logiciel d'évaluation automatique des dossiers a informé à tort une femme recevant des prestations sociales qu'elle devait 542 €.
Entités
Voir toutes les entitésAlleged: unknown developed an AI system deployed by French Welfare Offices, which harmed Lucie Inland.
Classifications de taxonomie CSETv1
Détails de la taxonomieIncident Number
The number of the incident in the AI Incident Database.
100
AI Tangible Harm Level Notes
Notes about the AI tangible harm level assessment
No financial harm because the money was given back
AI was not involved in the robo-debt algorithms. Statistics and risk categories were used instead of AI.
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
2021
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
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.
- AI system safety, failures, and limitations
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
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Je vis seul et, comme beaucoup de ma génération, je fais partie de la précarité. A ce titre, je perçois plusieurs avantages sociaux. Le bureau d'aide sociale paie une partie de mon loyer et me verse une allocation mensuelle, qui s'élève à e…
Variantes
Une "Variante" est un incident de l'IA similaire à un cas connu—il a les mêmes causes, les mêmes dommages et le même système intelligent. Plutôt que de l'énumérer séparément, nous l'incluons sous le premier incident signalé. Contrairement aux autres incidents, les variantes n'ont pas besoin d'avoir été signalées en dehors de la base de données des incidents. En savoir plus sur le document de recherche.
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