These former journalists are using AI to catch up with online defamation

The insight that drives CaliberAI is that this universe is a Bounded unlimited. Although AI moderation cannot conclusively determine truth and falsehood, it should be able to identify a subset of statements that may even constitute defamatory statements.

Carl Vogel, a professor of computational linguistics at Trinity College Dublin, helped CaliberAI build the model. For potentially defamatory statements, he has an effective formula: the statement must name an individual or group implicitly or explicitly; make a claim as a fact; and use certain taboo language or ideas, such as about theft, drunkenness or other Suggestions for misconduct. If you provide a sufficiently large text sample to a machine learning algorithm, it will detect patterns and associations between negative words based on the companies they retain. In this way, it can wisely guess which terms (if used for a specific group or individual) put a piece of content into a defamation danger zone.

Logically, there is no data set of defamatory material available for CaliberAI to use, because the publisher works very hard to avoid publishing these things to the world. Therefore, the company established its own company. Conor Brady first used his long experience in the press to generate a list of defamatory statements. He said: “We considered all the annoying things that can be said to anyone. We chopped them up, cut them and mixed them together until we could endure the fragile situation of the entire human…

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