Spreading disinformation risk for AI
The possibility that a model could be used to create misleading information to deceive or mislead a targeted audience.
Why is spreading disinformation a concern for foundation models?
Intentionally misleading people is unethical and can be illegal. A model that has this potential must be properly governed. Otherwise, business entities could face fines, reputational harms, and other legal consequences.
Generation of False Information
As per the news articles, generative AI poses a threat to democratic elections by making it easier for malicious actors to create and spread false content to sway election outcomes. The examples cited include robocall messages generated in a candidate’s voice instructing voters to cast ballots on the wrong date, synthesized audio recordings of a candidate confessing to a crime or expressing racist views, AI generated video footage showing a candidate giving a speech or interview they never gave, and fake images designed to look like local news reports, falsely claiming a candidate dropped out of the race.
Parent topic: AI risk atlas