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 769: Investigative Journalist Rana Ayyub Targeted by AI-Generated Deepfake Pornography

Description: Investigative journalist Rana Ayyub was targeted by a deepfake porn campaign, where AI-generated explicit content falsely depicted her in a pornographic video. This was part of a broader effort to discredit and silence her, which included a doxxing attack that exposed her personal information that resulted in severe harassment and emotional distress.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Unknown deepfake technology developers developed an AI system deployed by Unknown deepfake creators, which harmed Rana Ayyub.

Incident Stats

Incident ID
769
Report Count
2
Incident Date
2018-04-20
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
 

4.3. Fraud, scams, and targeted manipulation

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. Malicious Actors & Misuse

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 OccurrenceI Was The Victim Of A Deepfake Porn Plot Intended To Silence MeAll’s Clear for Deepfakes: Think Again
I Was The Victim Of A Deepfake Porn Plot Intended To Silence Me

I Was The Victim Of A Deepfake Porn Plot Intended To Silence Me

huffingtonpost.co.uk

All’s Clear for Deepfakes: Think Again

All’s Clear for Deepfakes: Think Again

lawfaremedia.org

I Was The Victim Of A Deepfake Porn Plot Intended To Silence Me
huffingtonpost.co.uk · 2018

I get a lot of hate on social media. I'm an investigative journalist but I am also somebody who is seen as anti-establishment, and being a Muslim woman as well, I tick all the boxes.

The online world has always been a difficult place for me…

All’s Clear for Deepfakes: Think Again
lawfaremedia.org · 2020

The verdict was in, and it was a comforting one: Deepfakes are the "dog that never barked." So said Keir Giles, a Russia specialist with the Conflict Studies Research Centre in the United Kingdom. Giles reasoned that the threat posed by dee…

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

Employee Automatically Terminated by Computer Program

Employee Automatically Terminated by Computer Program

Oct 2014 · 20 reports
Female Applicants Down-Ranked by Amazon Recruiting Tool

Female Applicants Down-Ranked by Amazon Recruiting Tool

Aug 2016 · 33 reports
Wikipedia Vandalism Prevention Bot Loop

Wikipedia Vandalism Prevention Bot Loop

Feb 2017 · 6 reports
Previous IncidentNext Incident

Similar Incidents

By textual similarity

Did our AI mess up? Flag the unrelated incidents

Employee Automatically Terminated by Computer Program

Employee Automatically Terminated by Computer Program

Oct 2014 · 20 reports
Female Applicants Down-Ranked by Amazon Recruiting Tool

Female Applicants Down-Ranked by Amazon Recruiting Tool

Aug 2016 · 33 reports
Wikipedia Vandalism Prevention Bot Loop

Wikipedia Vandalism Prevention Bot Loop

Feb 2017 · 6 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
  • 5fc5e5b