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Incident 596: Cruise's Autonomous Vehicles Allegedly Engaging in Risky Behavior Near Pedestrians

Description: Cruise's driverless vehicles are under federal investigation for possibly failing to exhibit due caution around crosswalks and pedestrians, with reports including one severe injury incident.

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Alleged: Cruise developed and deployed an AI system, which harmed pedestrians and General public.

Incident Stats

Incident ID
596
Report Count
1
Incident Date
2023-10-17
Editors
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

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.
 
  1. 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

Incident Reports

Reports Timeline

+1
Auto-Safety Regulators Investigate Cruise’s Self-Driving Cars Over Pedestrian Risks
Auto-Safety Regulators Investigate Cruise’s Self-Driving Cars Over Pedestrian Risks

Auto-Safety Regulators Investigate Cruise’s Self-Driving Cars Over Pedestrian Risks

wsj.com

Auto-Safety Regulators Investigate Cruise’s Self-Driving Cars Over Pedestrian Risks
wsj.com · 2023

General Motors' driverless-car unit Cruise is confronting a new safety investigation by federal regulators, after reports of its autonomous vehicles exhibiting risky behavior around pedestrians.

The National Highway Traffic Safety Administr…

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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