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Incident 228: Apple Maps Allegedly Directed Ski Trip Couple Onto Unpaved Road in the Mountains

Description: Near Los Angeles, Apple Maps allegedly directed a couple on a ski trip in the mountains toward into an unconventional route out of town, where the drivers found themselves lost and stuck on an unpaved road in the snow.

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Alleged: Apple developed and deployed an AI system, which harmed tourists and Apple Maps users.

Incident Stats

Incident ID
228
Report Count
1
Incident Date
2019-02-01
Editors
Khoa Lam
Applied Taxonomies
GMF, 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

Incident OccurrenceOut of traffic, into a ditch: Why Waze on snowy mountain roads could be a bad idea
Out of traffic, into a ditch: Why Waze on snowy mountain roads could be a bad idea

Out of traffic, into a ditch: Why Waze on snowy mountain roads could be a bad idea

mashable.com

Out of traffic, into a ditch: Why Waze on snowy mountain roads could be a bad idea
mashable.com · 2019

Rachael got out of her car, crying as she walked through a foot and a half of snow, looking for a paved road that could take her out of the mountains.

Instead, she found herself staring into the face of a horse wearing a blanket.

How did Ra…

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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