Algorithms can take much of the hard work out of tough decisions. But to avoid problems like the Robodebt debacle or unfair parole rulings, we need to ensure machines operate with human-like ethics.
The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
A paper published by researchers at Google claimed that they had achieved computing quantum supremacy, but leaks and counter-claims have created a stir.
A report calls for banning the use of emotion recognition technology. An AI and computer vision researcher explains the potential and why there’s growing concern.
A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
An AI trained to look at heart scans was able to successfully predict risk of death. But one expert cautions we still need to be careful about designing – and using – AI for medical diagnosis.
Personal data is valued primarily because data can be turned into a private asset. That has significant implications for political and societal choices.