Description: New Jersey Transit's use of a federal government storm modeling software underestimated the threat of storm surges to the Meadows Maintenance Complex, leaving millions of dollars worth of equipment in the rail yard before Hurricane Sandy struck.
Entities
View all entitiesAlleged: National Weather Service developed an AI system deployed by New Jersey Transit, which harmed New Jersey Transit and New Jersey Transit passengers.
Incident Stats
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
Pre-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline

NEW YORK (Reuters) - New Jersey Transit incorrectly used federal government software that otherwise could have warned officials against a disastrous decision to leave hundreds of millions of dollars worth of equipment in a low-lying rail ya…
On the weekend before Sandy thundered into New Jersey, transit officials studied a map showing bright green and orange blocks. On the map, the area where most New Jersey Transit trains were being stored showed up as orange – or dry. So keep…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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