Awesome, not awesome.
#Awesome
“Artificial intelligence can help doctors do a better job of finding breast cancer on mammograms, researchers from Google and medical centers in the United States and Britain are reporting in the journal Nature…Tested on images where the diagnosis was already known, the new system performed better than radiologists. On scans from the United States, the system produced a 9.4 percent reduction in false negatives, in which a mammogram is mistakenly read as normal and a cancer is missed.” — Denise Grady, Reporter Learn More from The New York Times >
#Not Awesome
““Most AI products have little evidence to support them,” Kocher said. Some risks won’t become apparent until an AI system has been used by large numbers of patients. “We’re going to keep discovering a whole bunch of risks and unintended consequences of using AI on medical data,” Kocher said. None of the AI products sold in the U.S. have been tested in randomized clinical trials, the strongest source of medical evidence, Topol said.”” — Liz Szabo, Reporter Learn More from Salon >
What we’re reading.
1/ In the United States, artificial intelligence is used to detect breast cancer and power self-driving cars in the United States — but ownership of AI-enabled robo-dogs hasn’t taken off the way it has in Japan. Learn More from BuzzFeed News >
2/ The state of Illinois introduces a law that requires companies to notify job candidates when AI is used to determine their “fitness” for a role. Learn More from Recode >
3/ A team of MIT researchers design an open curriculum to teach middle school students about the ethical implications of AI and technology that collects and learns from personal information. Learn More from MIT News >
4/ Market researchers uncover that TikTok parent company ByteDance has built a hidden feature that lets users swap their faces onto videos of other people, embracing the controversial deepfake technology that has been used for misinformation and non-consensual pornography. Learn More from TechCrunch >
5/ One of the biggest challenges related to machine learning in this decade will be “ensuring data sets used to train models account for different groups of people.” Learn More from VentureBeat >
6/ The Trump administration introduces a new rule requiring companies that export certain AI technology to other countries to apply for a license before it is sent overseas. Learn More from Reuters >
7/ Similar to in chess, AI-enabled software used in narrow domains of war could level the field for “underdogs.” Learn More from War on the Rocks >
Links from the community.
“Full-on machine learning for 2020, what are the best resources?” submitted by Samiur Rahman (@samiur1204). Learn More from Hacker News >
“A beetle generator made by machine-learning” submitted by Avi Eisenberger (@aeisenberger). Learn More from cunicode >
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