Description: 143 deepfake ads, over 100 of which reportedly impersonated former British Prime Minister Rishi Sunak, were promoted on Meta's platform to advertise the fraudulent investment scheme "Quantum AI." Funding for the ads reportedly originated from 23 countries. Up to 462,000 users may have been exposed to the false content. The campaign used generative AI tools to create high-quality misinformation, including spoofed BBC news clips for added legitimacy
Editor Notes: Reconstructing the timeline of events: (1) August 12, 2023: Reported start of the deepfake ad campaign on Meta; (2) August 1, 2024: End of the one-month investigation period during which Fenimore Harper identified 143 deepfake ads; (3) January 13, 2024: Fenimore Harper publishes its findings. Read the full report here: https://www.fenimoreharper.com/s/FENIMORE-HARPER-REPORT_-DEEP-FAKED-POLITICAL-ADS-V2.pdf. The full list of 143 identified ads by Fenimore Harper can be accessed here: https://www.fenimoreharper.com/s/Deepfake-Finance-Scam_-Full-List-of-Ads.xlsx.
Entités
Voir toutes les entitésAlleged: Unknown deepfake technology developers developed an AI system deployed by Quantum AI scammers, which harmed Rishi Sunak , Quantum AI victims , Meta users et BBC News presenters.
Système d'IA présumé impliqué: Unknown deepfake technology apps
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
Plus de 100 publicités vidéo deepfake se faisant passer pour Rishi Sunak (https://www.theguardian.com/politics/rishi-sunak) ont été payées pour être promues sur Facebook au cours du seul mois dernier, selon une étude qui a tiré la sonnette …
RÉSUMÉ EXÉCUTIF
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Plus de 100 publicités vidéo truquées se faisant passer pour le Premier ministre Rishi Sunak ont été payées pour être promues sur la plateforme de Meta au cours du mois dernier.
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Ces publicités pourraient avoir atteint pl…
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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