Millions of dollars are being spent to develop artificial intelligence software that reads x-rays and other medical scans in hopes it can spot things doctors look for but sometimes miss, such as lung cancers. A new study reports that these algorithms can also see something doctors don't look for on such scans: a patient's race. The study authors and other medical AI experts say the results make it more crucial than ever to check that health algorithms perform fairly on people with different racial identities. Complicating that task: The authors themselves aren't sure what cues the algorithms they created use to predict a person's race. Evidence that algorithms can read race from a person's medical scans emerged from tests on five types of imagery used in radiology research, including chest and hand x-rays and mammograms.

It's been a while since businesses have been debating over investment into data and analytics. Some people have already done it and it is working out. We are over and above the apprehensions of whether Data investments work or not, now, the questions is how soon you can make it work. It has to be strategy first and a top down push on getting the data investments to execution and results. It is a herculean task but by now there are already best practices and open source tools to help adopt the data solutions.

Northern Lights Forum » Can artificial intelligence be used to educate peoples about neurosecurity? Can artificial intelligence be used to educate peoples about neurosecurity? Author Topic: Can artificial intelligence be used to educate peoples about neurosecurity? (Read 25 times) Can artificial intelligence be used to educate peoples about neurosecurity? Hi guys... what do you think... Could we use and exploit artificial intelligence systems (like Twitter) to responsibly educate young peoples about the fundamentals of human neurosecurity and neuroprivacy? The only thing necessary for the triumph of evil is for good men to do nothing.