MIT AI Risk Repository · Risk Sub-Category · 61.02.34
Limitations in model generative accuracy
Category: Sources of systemic risks from general-purpose AI
Description
"AI-generated deepfakes can create convincingly realistic but entirely fabricated information."
From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Domain
- 4. Malicious actors
- Causal entity
- AI
- Intent
- Other
- Timing
- Other
Subdomain definition: Using AI systems to conduct large-scale disinformation campaigns, malicious surveillance, or targeted and sophisticated automated censorship and propaganda, with the aim to manipulate political processes, public opinion and behavior.
Real-world incidents in this subdomain
- Suspected AI-Generated Deepfake Video Reportedly Targeted Former Chhattisgarh Chief Minister Bhupesh Baghel on Instagram
- Purportedly AI-Manipulated Satellite Image Reportedly Claimed Iranian Strike Destroyed U.S. Radar in Qatar
- Purported AI-Generated War Footage Reportedly Circulated Widely Online During the Opening Phase of the War in Iran
- Network of Allegedly Fake Facebook Profiles with Purportedly AI-Generated Images Amplified Posts by Bulgaria's 'There Is Such a People' (ITN) Party
- Purportedly AI-Generated Image Reportedly Circulated Ahead of Thai Election Depicting PM Anutin Charnvirakul Dining with Benjamin Mauerberger
- Purportedly AI-Altered Images Reportedly Distort Evidence After Minneapolis Shooting of ICU Nurse Alex Pretti