This gets closer to true intelligence in a machine. Determining likely intent with AI methods. But how well does it do, better than humans? How well do humans do?
Engineers develop new way to know liars' intent
in Tech Xplore
Dartmouth engineering researchers have developed a new approach for detecting a speaker's intent to mislead. The approach's framework, which could be developed to extract opinion from "fake news," among other uses, was recently published as part of a paper in Journal of Experimental & Theoretical Artificial Intelligence.
Although previous studies have examined deception, this is possibly the first study to look at a speaker's intent. The researchers posit that while a true story can be manipulated into various deceiving forms, the intent, rather than the content of the communication, determines whether the communication is deceptive or not. For example, the speaker could be misinformed or make a wrong assumption, meaning the speaker made an unintentional error but did not attempt to deceive. ... "
Referenced paper:
More information: Deqing Li et al, Discriminating deception from truth and misinformation: an intent-level approach, Journal of Experimental & Theoretical Artificial Intelligence (2019). https://www.tandfonline.com/doi/full/10.1080/0952813X.2019.1652354
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