Description: In a report released by OpenAI, the company described how its generative AI tools were misused by state actors and private companies in Russia, China, Iran, and Israel to conduct covert influence campaigns aimed at manipulating public opinion and geopolitical narratives.
Entities
View all entitiesAlleged: OpenAI developed an AI system deployed by Zeno Zeno , Spamouflage , Russian government , Israeli government , Iranian government , International Union of Virtual Media , Doppelganger and Chinese government, which harmed United States , Ukraine , social media users , Moldova , Lithuania , Latvia , General public , Estonia and Critics of the Chinese government.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.1. Disinformation, surveillance, and influence at scale
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
Incident Reports
Reports Timeline
OpenAI said on Thursday that it had identified and disrupted five online campaigns that used its generative artificial intelligence technologies to deceptively manipulate public opinion around the world and influence geopolitics.
The effort…
A website called Savannah Time describes itself as "your trusted source for conservative news and perspectives in the vibrant city of Savannah." Another site, NioThinker, wants to be "your go-to destination for insightful, progressive news.…
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.
