MIT AI Risk Repository · Risk Sub-Category · 54.01.04
Privacy
Category: Negative impacts of AI use
Description
"OpenAI’s GPT-3 was designed to be dicult to extract personal information from, including for example public gures’ dates of birth. Even so, malicious uses of AI continue to encroach on privacy, as exemplied by China’s “Sharp Eye” automated surveillance system [551] and automated cyberattacks on personal data [354]. A more drastic form of AI-enabled surveillance could be on the way in the form of nonsurgical decoding of thoughts [54]—a technique which is reportedly already used by some police forces [398]."
From Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024 ), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Domain
- 4. Malicious actors
- Causal entity
- Human
- Intent
- Intentional
- Timing
- Post-deployment
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
How other frameworks describe this risk
Other entries from Leech2024
- Negative impacts of AI use
- Under-recognized work
- Environmental cost
- Discrimination, toxicity, and bias
- Security
- Harm caused by incompetent systems
- Harm caused by unaligned competent systems
- Specification gaming
- Emergent goals
- Deceptive alignment
- Within-country issues: domestic inequality
- Demographic diversity of researchers