Description: A lawsuit cited Amazon as liable in a crash involving its delivery driver, alleging that Amazon’s AI-powered driver monitoring system pushed drivers to prioritize speed over safety.
Editor Notes: Alleged Harmed Party's name has been redacted at their request.
Entities
View all entitiesAlleged: Amazon developed and deployed an AI system, which harmed Amazon workers and Amazon delivery drivers.
CSETv1 Taxonomy Classifications
Taxonomy DetailsIncident Number
The number of the incident in the AI Incident Database.
157
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
5.1. Overreliance and unsafe use
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.
- Human-Computer Interaction
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
Incident Reports
Reports Timeline
Amazon is currently defending itself against a lawsuit that could determine whether it is liable for the actions of its contract delivery drivers.
In March, [AFFECTED PARTY] was going to see his sister’s new house with his father and brothe…
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.
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