The next levelAItools will personalise detection of false content as well as protecting us against it.
For this ultimate leap into user-centered AI,data scienceneeds to look to behavioural and neuroscience.
Recent work suggests we mightnot always consciously knowthat we are encountering fake news.
Neuroscience is helping to discover what is going on unconsciously.
In other words, these biomarkers may be tells that indicate if we have been taken in or not.
If such elements seem unnatural, it can help us decide that were looking at a deepfake.
This could help establish when people are taken in and what sort of material fools people the easiest.
Counteracting harms
What comes next is customising the safeguards.
Such technology is already being trialled.
Researchers in the US have studied how people interact witha personalised AI fake news checker of social media posts.
There are many types of lie detectors, not just the polygraph test.
Some exclusively depend on linguistic analysis.
So, a fake news checking system has its work cut out.
The answer is not very.
Neural activityis most often the samewhen we come across real and fake news articles.
Are we there yet?
But false and inaccurate content is everywhere, and gets discussedoffline.
