misinformation detection

Terms from Artificial Intelligence: humans at the heart of algorithms

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There is an arms race between AI that creates misinfomation and AI to detect it. Indeed the AI that creates deep fakes is trained using adversarial learning. In some cases it is possible to cross check features, for example the BBC routinely checks the backgorund of photos against images of real area and if a large language mdoel halucinates academic references, these can be cross-checked against the journals content list. However, as the fakes become more relaistic, this becomes harder, in oarticukar humans can be fooled, for example by long arguments with lots of true, but irrelevant, facts. Furthermore, the best disinformation may be true, but leave the wrong impression. Probably the best guard against misinformation is being better informed onesself and knoeing the provenance of information – does it come from a trusted source.

Used in Chap. 20: page 345