Description: A Tesla Sedan operating on Autopilot mode was not able to center itself on the road and drove over a yellow dividing curb in Redmond, Washington, causing minor damage to the vehicle’s rear suspension.
Entities
View all entitiesCSETv1 Taxonomy Classifications
Taxonomy DetailsIncident Number
The number of the incident in the AI Incident Database.
128
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
2017
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
Multiple AI Interaction
“Yes” if two or more independently operating AI systems were involved. “No” otherwise.
no
Embedded
“Yes” if the AI is embedded in a physical system. “No” if it is not. “Maybe” if it is unclear.
yes
Incident Reports
Reports Timeline
wired.com · 2018
- View the original report at its source
- View the report at the Internet Archive
One day last summer, Microsoft’s director of artificial intelligence research, Eric Horvitz, activated the Autopilot function of his Tesla sedan. The car steered itself down a curving road near Microsoft’s campus in Redmond, Washington, fre…
carloscreusmoreira.medium.com · 2019
- View the original report at its source
- View the report at the Internet Archive
In the summer of 2017, Eric Horvitz turned on the Autopilot function of his Tesla sedan. Not having to worry about steering the car along a curving road in Redmond, Washington, allowed Horvitz to better focus on the call he was taking with …
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.
Similar Incidents
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Similar Incidents
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