Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse

Incident 199: Ever AI Reportedly Deceived Customers about FRT Use in App

Description: Ever AI, now Paravision AI, allegedly failed to inform customers about the development and use of facial recognition that facilitates the sale of customers’ data to various businesses, a business model that critics said was an egregious violation of privacy.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Ever AI developed and deployed an AI system, which harmed Ever AI users.

Incident Stats

Incident ID
199
Report Count
7
Incident Date
2019-04-01
Editors
Sean McGregor, 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
 

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

Incident Reports

Reports Timeline

Incident Occurrence+1
Millions of people uploaded photos to the Ever app. Then the company used them to develop facial recognition tools.
Ever, once accused of building facial recognition tech using customer data, shuts down consumer app+3
California Company Settles FTC Allegations It Deceived Consumers about use of Facial Recognition in Photo Storage App
Millions of people uploaded photos to the Ever app. Then the company used them to develop facial recognition tools.

Millions of people uploaded photos to the Ever app. Then the company used them to develop facial recognition tools.

nbcnews.com

Millions of people uploaded photos to the Ever app. Then the company used them to develop facial recognition tools.

Millions of people uploaded photos to the Ever app. Then the company used them to develop facial recognition tools.

nbcnews.com

Ever, once accused of building facial recognition tech using customer data, shuts down consumer app

Ever, once accused of building facial recognition tech using customer data, shuts down consumer app

techcrunch.com

California Company Settles FTC Allegations It Deceived Consumers about use of Facial Recognition in Photo Storage App

California Company Settles FTC Allegations It Deceived Consumers about use of Facial Recognition in Photo Storage App

ftc.gov

Privacy pilfering project punished by FTC purge penalty: AI upstart told to delete data and algorithms

Privacy pilfering project punished by FTC purge penalty: AI upstart told to delete data and algorithms

theregister.com

Paravision AI ordered to delete face recognition software derived from user pictures without permission

Paravision AI ordered to delete face recognition software derived from user pictures without permission

dpreview.com

Column: Millions of faces scanned without approval. We need rules for facial recognition

Column: Millions of faces scanned without approval. We need rules for facial recognition

latimes.com

Millions of people uploaded photos to the Ever app. Then the company used them to develop facial recognition tools.
nbcnews.com · 2019

“Make memories”: That’s the slogan on the website for the photo storage app Ever, accompanied by a cursive logo and an example album titled “Weekend with Grandpa.”

Everything about Ever’s branding is warm and fuzzy, about sharing your “best…

Millions of people uploaded photos to the Ever app. Then the company used them to develop facial recognition tools.
nbcnews.com · 2019

The Ever AI website makes no mention of “best moments” snapshots. Instead, in news releases, it describes how the company possesses an “ever-expanding private global dataset of 13 billion photos and videos” from what the company said are te…

Ever, once accused of building facial recognition tech using customer data, shuts down consumer app
techcrunch.com · 2020

Cloud photo storage app Ever is shutting down, citing increased competition with the default services offered by Apple and Google as the cause. The company, however, had other issues beyond the plight of a small startup trying to compete wi…

California Company Settles FTC Allegations It Deceived Consumers about use of Facial Recognition in Photo Storage App
ftc.gov · 2021

A California-based developer of a photo app has settled Federal Trade Commission allegations that it deceived consumers about its use of facial recognition technology and its retention of the photos and videos of users who deactivated their…

Privacy pilfering project punished by FTC purge penalty: AI upstart told to delete data and algorithms
theregister.com · 2021

Face-recognition biz hammered after harvesting people's pics, videos without permission.

A California-based facial recognition biz has been directed by the US Federal Trade Commission to delete the AI models and algorithms that it developed…

Paravision AI ordered to delete face recognition software derived from user pictures without permission
dpreview.com · 2021

Face recognition developer Paravision AI has been ordered to delete masses of user data it held and used illegally to create face recognition applications from the images stored on its former cloud storage service Ever. The US Federal Trade…

Column: Millions of faces scanned without approval. We need rules for facial recognition
latimes.com · 2021

The powers that be at UCLA thought it was a good idea at the time — using state-of-the-art technology to scan students’ faces for gaining access to campus buildings. Students thought otherwise.

“The implementation of facial recognition tech…

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.
Previous IncidentNext Incident

Research

  • Defining an “AI Incident”
  • Defining an “AI Incident Response”
  • Database Roadmap
  • Related Work
  • Download Complete Database

Project and Community

  • About
  • Contact and Follow
  • Apps and Summaries
  • Editor’s Guide

Incidents

  • All Incidents in List Form
  • Flagged Incidents
  • Submission Queue
  • Classifications View
  • Taxonomies

2023 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • 9d70fba