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 570: Facebook Messenger AI Stickers Generate Ethical and Content Moderation Concerns

Description: Facebook Messenger AI stickers, a feature by Meta, allows users to generate personalized stickers via AI for use in conversations. While the feature has been praised for its creativity, it has also stirred controversy for its alleged production of inappropriate or offensive content. This has raised questions about the effectiveness of Meta's content moderation measures and the ethical responsibilities associated with AI-driven content generation.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

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

Incident Stats

Incident ID
570
Report Count
1
Incident Date
2023-10-04
Editors
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
 

1.2. Exposure to toxic content

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
 

Unintentional

Incident Reports

Reports Timeline

+1
Facebook’s new AI-generated stickers are lewd, rude, and occasionally nude
Facebook’s new AI-generated stickers are lewd, rude, and occasionally nude

Facebook’s new AI-generated stickers are lewd, rude, and occasionally nude

theverge.com

Facebook’s new AI-generated stickers are lewd, rude, and occasionally nude
theverge.com · 2023

Some early user tests for Meta’s new AI-generated sticker tool have resulted in some dubious (and rather hilarious) creations. After gaining access to the new AI-generated sticker tool on Facebook Messenger, X user @Pioldes was able to crea…

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

By textual similarity

Did our AI mess up? Flag the unrelated incidents

Inappropriate Gmail Smart Reply Suggestions

Inappropriate Gmail Smart Reply Suggestions

Nov 2015 · 22 reports
DALL-E 2 Reported for Gender and Racially Biased Outputs

DALL-E 2 Reported for Gender and Racially Biased Outputs

Apr 2022 · 3 reports
DALL-E Mini Reportedly Reinforced or Exacerbated Societal Biases in Its Outputs as Gender and Racial Stereotypes

DALL-E Mini Reportedly Reinforced or Exacerbated Societal Biases in Its Outputs as Gender and Racial Stereotypes

Jun 2022 · 4 reports
Previous IncidentNext Incident

Similar Incidents

By textual similarity

Did our AI mess up? Flag the unrelated incidents

Inappropriate Gmail Smart Reply Suggestions

Inappropriate Gmail Smart Reply Suggestions

Nov 2015 · 22 reports
DALL-E 2 Reported for Gender and Racially Biased Outputs

DALL-E 2 Reported for Gender and Racially Biased Outputs

Apr 2022 · 3 reports
DALL-E Mini Reportedly Reinforced or Exacerbated Societal Biases in Its Outputs as Gender and Racial Stereotypes

DALL-E Mini Reportedly Reinforced or Exacerbated Societal Biases in Its Outputs as Gender and Racial Stereotypes

Jun 2022 · 4 reports

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