machine learning algorithms

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Artificial Intelligence and Machine Learning Bias has Dangerous Implications

Algorithms are everywhere in our world, and so is bias. From social media news feeds to streaming service recommendations to online shopping, computer algorithms—specifically, machine learning algorithms—have permeated our day-to-day world. As for bias, we need only examine the 2016 American election to understand how deeply—both implicitly and explicitly—it permeates our society as well. What’s often overlooked, however, is the intersection between these two: bias in computer algorithms themselves. Contrary to what many of us might think, technology is not objective...

Will “Digital Fingerprint” Forensics Thwart the Data Thieves Lurking in Hospital EHR Corridors?

As Halloween approaches, the usual spate of horror movies will intrigue audiences across the US, replete with slashers named Jason or Freddie running amuck in the corridors of all too easily accessible hospitals. They grab a hospital gown and the zombies fit right in.  While this is just a movie you can turn off, the real horror of patient data theft can follow you...Unfortunately, this horror movie scenario is similar to how data thefts often occur at medical facilities. In 2015, the healthcare industry was one of the top three hardest hit industries with serious data breaches and major attacks, along with government and manufacturers. Packed with a wealth of exploitable information such as credit card data, email addresses, Social Security numbers, employment information and medical history records, much of which will remain valid for years, if not decades and fetch a high price on the black market.

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