This is actually happening.
A team of researchers has developed a “powerful new tool in artificial intelligence” (AI) that can predict if someone is or isn’t likely to get a COVID-19 vaccine.
According to the University of Cincinnati, the new AI tool “uses a small set of data from demographics and personal judgments such as aversion to risk or loss” to identify “reward and aversion judgment” patterns in humans that may help explain one’s willingness to get vaccinated.
The researchers presented their findings in a study published Tuesday in the Journal of Medical Internet Research Public Health and Surveillance.
The study’s findings “could have broad applications for predicting mental health and result in more effective public health campaigns,” the university said.
According to the study, “Despite COVID-19 vaccine mandates, many chose to forgo vaccination, raising questions about the psychology underlying how judgment affects these choices.”
The researchers claim their findings “demonstrate the underlying importance of judgment variables for vaccine choice and uptake, suggesting that vaccine education and messaging might target varying judgment profiles to improve uptake.”
But critics like Brian Hooker, Ph.D., chief scientific officer for Children’s Health Defense, said that the new technology implies that those who question vaccines have mental health problems:
“The whole implication here is that nonconformity to the government propaganda machine’s standard of care makes one some type of mental case or extreme outlier. The whole thing smacks of a Brave New World where potentially non-compliant individuals are targeted with messaging based on fear and irrationality.”
Hooker said the new technology “is a prefabricated substitute to what Big Pharma and government health agencies avoid: rational discussions of science and medicine that might expose the truth about vaccine adverse events.”