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Incident 248: Automated License Plate Camera Notified Police about a Previously Stolen Rental Car that was Returned, Causing an Innocent Person to be Detained at Gunpoint in California

Description: In Oakland, a previously stolen rental car that was returned but allegedly not updated in the police database was pinged by an automated license plate reader (ALPR) camera, leading to police’s wrongful detainment of an innocent person reportedly using excessive force and improper conduct.

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Alleged: Vigilant Solutions developed an AI system deployed by Contra Costa County Sheriff, which harmed Brian Hofer.

Incident Stats

Incident ID
248
Report Count
2
Incident Date
2018-11-23
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 OccurrencePrivacy advocate sues CoCo sheriff's deputies after license plate readers target his car stolenWhen License-Plate Surveillance Goes Horribly Wrong
Privacy advocate sues CoCo sheriff's deputies after license plate readers target his car stolen

Privacy advocate sues CoCo sheriff's deputies after license plate readers target his car stolen

ktvu.com

When License-Plate Surveillance Goes Horribly Wrong

When License-Plate Surveillance Goes Horribly Wrong

nytimes.com

Privacy advocate sues CoCo sheriff's deputies after license plate readers target his car stolen
ktvu.com · 2019

SAN PABLO, Calif. (KTVU) - Brian Hofer has worked for the last half decade on defending citizens’ rights to privacy and creating tighter oversight surrounding the use of mass surveillance techniques and technology.

As chair of Oakland’s Pri…

When License-Plate Surveillance Goes Horribly Wrong
nytimes.com · 2019

Brian Hofer and his brother were on their way home from a Thanksgiving visit, headed toward Oakland, Calif., on Interstate 80 when he saw the flashing lights. Police officers directed him off the highway and into a shopping center. That’s a…

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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