5 key themes in Americans’ views about AI and human enhancement
Americans regard advances in artificial intelligence and human enhancement technologies with a degree of caution and uncertainty.
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AI and Human Enhancement: Americans’ Openness Is Tempered by a Range of Concerns
Public views are tied to how these technologies would be used and what constraints would be in place.
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What is machine learning, and how does it work?
Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.
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The longer and more often people use Facebook, the more ad preferences the site lists about them
How many ad preferences Facebook lists for its U.S. users – and how accurate they are – depends on how often, and for how long, they’ve used the platform.
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How does a computer ‘see’ gender?
A computer can be trained to predict whether an image shows a man or a woman. Can you identify which parts of the face are most essential to the computer’s decision?
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7 things we’ve learned about computer algorithms
Pew Research Center released several reports in 2018 that explored the role and meaning of algorithms in people’s lives today.
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Facebook Algorithms and Personal Data
About half of Facebook users say they are not comfortable when they see how the platform categorizes them, and 27% maintain the site’s classifications do not accurately represent them.
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Many Facebook users don’t understand how the site’s news feed works
Around half of U.S. adults who use Facebook say they do not understand why certain posts but not others are included in their news feed. Older users are particularly likely to say they do not understand the workings of the news feed.
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Code-Dependent: Pros and Cons of the Algorithm Age
Algorithms can save lives, make things easier and conquer chaos. But experts worry about governmental and corporate control of the data, and how algorithms can produce biased results and worsen digital divides.
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