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.
Entités
Voir toutes les entitésAlleged: Unknown deepfake technology developers developed an AI system deployed by Unknown deepfake creators, which harmed Rana Ayyub.
Statistiques d'incidents
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.
- 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
Rapports d'incidents
Chronologie du rapport
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…
Le verdict est tombé, et il est réconfortant : les deepfakes sont le « chien qui n’a jamais aboyé » (https://www.npr.org/2020/05/07/851689645/why-fake-video-audio-may-not-be-as-powerful-in-spreading-disinformation-as-feare). C’est ce qu’a d…
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
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