Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Descubrir
Enviar
  • Bienvenido a la AIID
  • Descubrir Incidentes
  • Vista espacial
  • Vista Tabular
  • Vista de lista
  • Entidades
  • Taxonomías
  • Enviar Informes de Incidentes
  • Ranking de Reportadores
  • Blog
  • Resumen de noticias de IA
  • Control de Riesgos
  • Incidente aleatorio
  • Registrarse
Colapsar
Descubrir
Enviar
  • Bienvenido a la AIID
  • Descubrir Incidentes
  • Vista espacial
  • Vista Tabular
  • Vista de lista
  • Entidades
  • Taxonomías
  • Enviar Informes de Incidentes
  • Ranking de Reportadores
  • Blog
  • Resumen de noticias de IA
  • Control de Riesgos
  • Incidente aleatorio
  • Registrarse
Colapsar

Incidente 733: Auto Insurers Allegedly Are Surreptitiously Collecting and Scoring Driver Data

Descripción: The insurance industry allegedly uses AI and telematics to score drivers based on behaviors tracked by automakers and apps like Life360. Data, often collected without clear consent, may affect insurance rates and raises privacy concerns. Consumers are largely unaware of this surveillance, leading to potential misuse and discrimination based on driving habits or socioeconomic factors.

Herramientas

Nuevo InformeNuevo InformeNueva RespuestaNueva RespuestaDescubrirDescubrirVer HistorialVer Historial

Entidades

Ver todas las entidades
Alleged: MyRadar , Life360 , Connected Analytic Services y Arity developed an AI system deployed by USAA , Toyota , Progressive , MyRadar , Life360 , General Motors , GEICO , CSAA , Connected Analytic Services , Arity y Allstate, which harmed Privacy-conscious individuals , People with poor credit scores , Lower-income workers , Drivers unaware of data collection , Consumers affected by insurance rates , Life360 users y MyRadar users.

Estadísticas de incidentes

ID
733
Cantidad de informes
2
Fecha del Incidente
2024-06-09
Editores
Daniel Atherton
Applied Taxonomies
MIT

Clasificaciones de la Taxonomía MIT

Machine-Classified
Detalles de la Taxonomía

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information

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. Privacy & Security

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
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Informes del Incidente

Cronología de Informes

+1
Is Your Driving Being Secretly Scored?
Car insurance companies secretly collecting driver data with the help of phone apps: report
Is Your Driving Being Secretly Scored?

Is Your Driving Being Secretly Scored?

nytimes.com

Car insurance companies secretly collecting driver data with the help of phone apps: report

Car insurance companies secretly collecting driver data with the help of phone apps: report

nypost.com

Is Your Driving Being Secretly Scored?
nytimes.com · 2024

You know you have a credit score. Did you know that you might also have a driver score?

The score reflects the safety of your driving habits --- how often you slam on the brakes, speed, look at your phone or drive late at night.

While you c…

Car insurance companies secretly collecting driver data with the help of phone apps: report
nypost.com · 2024

Popular smartphone apps used to track people's location and provide weather reports may hand over driving data to a firm that sells the information to insurance companies for the purposes of setting rates for unsuspecting motorists, accordi…

Variantes

Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.

Incidentes Similares

Por similitud de texto

Did our AI mess up? Flag the unrelated incidents

Northpointe Risk Models

Machine Bias - ProPublica

May 2016 · 15 informes
Sexist and Racist Google Adsense Advertisements

Discrimination in Online Ad Delivery

Jan 2013 · 27 informes
Predictive Policing Biases of PredPol

Policing the Future

Nov 2015 · 17 informes
Incidente AnteriorSiguiente Incidente

Incidentes Similares

Por similitud de texto

Did our AI mess up? Flag the unrelated incidents

Northpointe Risk Models

Machine Bias - ProPublica

May 2016 · 15 informes
Sexist and Racist Google Adsense Advertisements

Discrimination in Online Ad Delivery

Jan 2013 · 27 informes
Predictive Policing Biases of PredPol

Policing the Future

Nov 2015 · 17 informes

Investigación

  • Definición de un “Incidente de IA”
  • Definición de una “Respuesta a incidentes de IA”
  • Hoja de ruta de la base de datos
  • Trabajo relacionado
  • Descargar Base de Datos Completa

Proyecto y Comunidad

  • Acerca de
  • Contactar y Seguir
  • Aplicaciones y resúmenes
  • Guía del editor

Incidencias

  • Todos los incidentes en forma de lista
  • Incidentes marcados
  • Cola de envío
  • Vista de clasificaciones
  • Taxonomías

2024 - AI Incident Database

  • Condiciones de uso
  • Política de privacidad
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • ecd56df