People who are suspicious of science often assume they are understand it well – and that others agree with them.
Media companies should set up guidelines for how they are using AI.
People can trust each other because they understand how the human mind works, can predict people’s behavior, and assume that most people have a moral sense. None of these things are true of AI.
It’s difficult to see how artificial intelligence systems work, and to see whose interests they work for. Regulation could make AI more trustworthy. Until then, user beware.
Biobanks collect and store large amounts of data that researchers use to conduct a wide range of studies. Making sure participants understand what they’re getting into can help build trust in science.
There are many uses for digital systems that are not centrally controlled and that allow large numbers of people to participate securely, even if they don’t all know and trust each other.
Generative AIs may make up information they serve you, meaning they may potentially spread science misinformation. Here’s how to check the accuracy of what you read in an AI-enhanced media landscape.
We often assume misinformation leads to bad beliefs which lead to antisocial behaviour. But there’s so far little evidence for this.
Nurses who identify as Democrats have a significantly higher likelihood of having their children vaccinated against COVID-19 than those who identify as Republicans.
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