
Why We Forgive Humans More Readily Than Machines
When things go wrong, flexible moral intuitions cause us to judge computers more severely

When things go wrong, flexible moral intuitions cause us to judge computers more severely

Machine-learning algorithms can guide humans toward new experiments and theories

The most promising AI approach you’ve never heard of doesn’t need to go big

Originally built to speed up calculations, a machine-learning system is now making shocking progress at the frontiers of experimental quantum physics

Deep learning, neural networks, imitation games—what does any of this have to do with teaching computers to “learn”?

Features designed to guard against sexual abuse carry the potential for unintended consequences

Melanie Mitchell says digital minds will never truly be like ours until they can make analogies

It’s unable to tell us why it came to a particular decision—and that’s crucial information

The algorithm hides sensitive information in a sea of decoys

Machine-learning algorithms can quickly process thousands of hours of natural soundscapes

Researchers are training algorithms to emulate trained dogs’ ability to detect cancer and other diseases, perhaps including COVID-19

A new type of learning model uses far less data than conventional AIs, allowing researchers with limited resources to contribute

Replication problems plague the field of AI, and the goal of general intelligence remains as elusive as ever

We need more diverse data to avoid perpetuating inequality in medicine

A technology called “fully homomorphic encryption” is so secure that even future quantum computers won’t be able to crack it

New models used writing samples to predict the onset of the disease with 70 percent accuracy

Manipulated videos are getting more sophisticated all the time—but so are the techniques that can identify them

Digitization of patient charts was supposed to revolutionize medical practice. Artificial intelligence could help unlock its potential

AI may equal human intelligence without matching the true nature of our experiences

Researchers trained machine-learning algorithms to read Amazon reviews for hints that a food product would be recalled by the FDA. Christopher Intagliata reports.
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