Controversy erupted over the need for transparency in research into AI for medicine. Google Health introduced a system that purportedly identified breast cancer more accurately than human radiologists.

Documentary filmmakers often shield the identities of people who might be harmed for speaking out. But typical tactics like blurring faces and distorting voices can make it hard for audiences to connect emotionally. A new

Israeli and American hospitals are using an algorithm to flag individuals at high risk for Covid-19 complications.

A consortium of top AI experts proposed concrete steps to help machine learning engineers secure the public’s trust. Dozens of researchers and technologists recommended actions to counter public skepticism toward artificial intelligence, fueled by issues like data privacy.

An AI-driven alarm system helps rescue patients before infections become fatal. The problem: Machine learning can spot patterns in electronic health data indicating where a patient’s condition is headed that may be too subtle for doctors and nurses to catch.

Eric Topol is one of the world’s leading advocates for AI in medicine. Below he shares his insights into the fusion of AI and medicine and advice for machine learning engineers who want to get involved.

Doctors are overwhelmed by clerical work. Healthcare-savvy voice assistants are picking up the slack.

The wearable revolution is helping doctors figure out what’s troubling your ticker — thanks to deep learning. The problem: Arrhythmias, a range of conditions in which the heart beats too fast, too slow, or erratically, can cause heart attack or stroke.

Machine learning thrives on data, but information about the novel coronavirus and the illness it produces has been either thin or hard to access. Now researchers are pooling resources to share everything we do know.

Hoping to keep surveillance capitalists from capitalizing on your face? Safeguard your selfies with a digital countermeasure. Researchers devised a program that subtly alters portrait photos to confuse face recognition models without distorting the image to the human eye.

The business world continues to shape deep learning’s future. Commerce is pushing AI toward more efficient consumption of data, energy, and labor, according to a report on trends in machine learning from market analyst CB Insights.

A digital attorney is helping consumers take telemarketers and phone scammers to court. DoNotPay makes an app billed as the world’s first robot lawyer. Its latest offering, Robo Revenge, automates the process of suing intrusive robocallers.

What if you could identify just about anyone from a photo? A controversial startup is making this possible. Hundreds of U.S. law enforcement agencies are using a face ID service that matches photos against a database of billions of images.

The Trump administration announced a hands-off policy for regulating artificial intelligence. The White House unveiled an executive order instructing federal agencies to minimize rule-making related to AI businesses.

Datasets are critical to AI and machine learning, and they are becoming a key driver of the economy. Collection of sensitive data is increasing rapidly, covering almost every aspect of people’s lives.