Incidente 24: translated-es-Robot kills worker at German Volkswagen plant
Descripción: translated-es-A Volkswagen plant robot "crushed to death" a worker by pinning him to a metal plate.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Volkswagen, perjudicó a Robotics Consultant.
Clasificaciones de la Taxonomía CSETv0
Detalles de la TaxonomíaPublic 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.
No
Infrastructure Sectors
Where applicable, this field indicates if the incident caused harm to any of the economic sectors designated by the U.S. government as critical infrastructure.
Critical manufacturing
Lives Lost
Were human lives lost as a result of the incident?
Yes
Intent
Was the incident an accident, intentional, or is the intent unclear?
Accident
Near Miss
Was harm caused, or was it a near miss?
Harm caused
Ending Date
The date the incident ended.
2015-06-24T07:00:00.000Z
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
24
AI Tangible Harm Level Notes
Notes about the AI tangible harm level assessment
Robot crushed worker at Volkswagen factory. However, no AI linked to the robot. Volkswagen determine this death was due to human error.
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
2015
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
29
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
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
Unintentional