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 527: Tech Companies Reportedly Influenced Gig Workers' Behaviors Using Algorithms to Vary Pay for Same Amount of Work

Description: Amazon and Uber were alleged in a multiyear ethnographic study using algorithmic systems based on gig workers' data to vary pay, such as by offering them lower wages for the same amount of work.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Uber and Amazon developed and deployed an AI system, which harmed Uber drivers , gig workers and Amazon delivery workers.

Incident Stats

Incident ID
527
Report Count
2
Incident Date
2014-05-08
Editors
Khoa Lam
Applied Taxonomies
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
 

1.1. Unfair discrimination and misrepresentation

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. Discrimination and Toxicity

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
 

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceOn Algorithmic Wage DiscriminationCompanies like Uber and Amazon use AI to pay people different wages for the same work, a new study finds
On Algorithmic Wage Discrimination

On Algorithmic Wage Discrimination

papers.ssrn.com

Companies like Uber and Amazon use AI to pay people different wages for the same work, a new study finds

Companies like Uber and Amazon use AI to pay people different wages for the same work, a new study finds

businessinsider.com

On Algorithmic Wage Discrimination
papers.ssrn.com · 2023

Recent technological developments related to the extraction and processing of data have given rise to widespread concerns about a reduction of privacy in the workplace. For a growing number of low-income and subordinated racial minority wor…

Companies like Uber and Amazon use AI to pay people different wages for the same work, a new study finds
businessinsider.com · 2023

Gig workers are doing the same jobs for different pay, and this model could come to your workplace someday. 

That's according to new research from Veena Dubal, a law professor at University of California Hastings, who drew upon six years an…

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
  • 8b8f151