Awesome, not awesome.
#Awesome
“...a recent paper made the case that AI advances could help decrease global health-care discrepancies, particularly for people who live far away from urban centers. Researchers from Georgetown University and the nonprofit Washington Institute for Health Sciences noted that maternal mortality rate (often used as a signal for overall quality of health-care availability), is 29 deaths per 10,000 live births in rural areas across the whole world, compared to 11 deaths per 10,000 live births in urban areas. They argue the reasons for this gap are simple, resource-related problems that could be solved with affordable—but smarter—diagnostic tools, driven by AI." - Emily Mullin, Editor Learn More from Quartz >
#Not Awesome
"A study out of the MIT Media Lab published in February 2018 found that facial-recognition systems from companies like IBM and Microsoft were 11%-19% more accurate on lighter-skinned individuals. They were particularly bad at identifying women of color: The AIs were 34% less accurate at recognizing darker-skinned females compared to lighter-skinned males. Very few dark-skinned people were in the original dataset; even fewer were female...In other words, a person’s body-hair type can skew an AI’s assessment of whether or not he or she has skin cancer." - Dave Gershgorn, Reporter Learn More from Quartz >
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