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Never trust your software too much these days, for the sake of your brain.

People in Japan already use it, but people in the United States are expected to use e-mail and mobile phones to transfer money. Will this be reliable and secure, though?

Do you think this article is biased at all - from his comments about "Banking on the mobile phone is relatively safe."? Make sure when you annotate the actual IT System that you are able to explain how it works... you have not tagged it with a social and ethical issue BTW?

"The company behind Whisper, the social media app that promises users anonymity and claims to be "the safest place on the internet", is tracking the location of its users, including some who have specifically asked not to be followed. The practice of monitoring the whereabouts of Whisper users - including those who have expressly opted out of geolocation services - will alarm users, who are encouraged to disclose intimate details about their private and professional lives."

"To date, activity trackers have been used medically only to encourage or monitor patient activity, particularly in conjunction with weight loss programs.5, 6 To our knowledge, this is the first report to use the information in an activity tracker-smartphone system to assist in specific medical decisionmaking."

"Anouk van Maris, a robot cognition specialist who is researching ethical human-robot interaction, has found that comfort levels with robots vary greatly depending on location and culture. "It depends on what you expect from it. Some people love it, others want to run away as soon as it starts moving," she says. "The advantage of a robot that looks human-like is that people feel more comfortable with it being close to them, and it is easier to communicate with it. The big disadvantage is that you expect it to be able to do human things and it often can't.""

"His team trained a machine learning algorithm to spot words and phrases associated with bullying on social media site AskFM, which allows users to ask and answer questions. It managed to detect and block almost two-thirds of insults within almost 114,000 posts in English and was more accurate than a simple keyword search. Still, it did struggle with sarcastic remarks."