Two papers land on the crew's table on the same morning.
The first is an SH-1 practice quiz about the library. Question two says the library opens at seven. Librarian Joss's notes say nine.
The second is a flyer taped to the front doors: "Library closed all Friday." It looks just like the library's real flyers.
Comet holds them up side by side. "Both are wrong. So they are the same problem, right?"
Wren taps the flyer. "What does the evidence say? Did anyone mean for the quiz to be wrong? Did someone mean for this to be wrong?"
Nova projects two headings: by mistake, and on purpose. "Would you like a hint?" she asks. "Ask why each one is wrong."
Librarian Joss sighs. "I never made that flyer. Somebody made it to fool people."
NIST describes misinformation as false or misleading content spread without meaning to. It often comes from confabulation.
Disinformation is false content made on purpose to deceive or harm.
NIST adds that even very small changes to text or images can fool people and machines.
NIST calls highly realistic synthetic audio, video and photos deepfakes. The heron photo is a harmless made-up example of a realistic synthetic photo.
NIST also says generative AI can be used to make content that pretends to come from someone else.
The fake flyer pretended to come from the library. It did not need any AI to do that.
False content can also make people trust real evidence and information less.
| Statement | True or false? |
|---|---|
| Misinformation is always spread on purpose. | ? |
| Disinformation is made to deceive or harm. | ? |
| A deepfake is a highly realistic synthetic photo, video or audio. | ? |
| False content can make people trust real notices less. | ? |
Sharp thinking, reviewer. Tomorrow in the Explorer Lab you will design labels that show where things came from.