Last year, two data scientists from security firm ZeroFOX conducted an experiment to see who was better at getting Twitter users to click on malicious links, humans or an artificial intelligence. The researchers taught an AI to study the behaviour of social network users, and then design and implement its own phishing bait. In tests, the artificial hacker was substantially better than its human competitors, composing and distributing more phishing tweets than humans, and with a substantially better conversion rate.
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With each passing breakthrough in artificial intelligence, we're asking our machines to make increasingly complex and weighty decisions. The trouble is, AIs are starting to act beyond our levels of comprehension. In high frequency stock trading, for example, this had led to so-called flash crashes, in which algorithms make lightning-quick decisions for reasons we can't quite grasp. In an effort to bridge the growing gap between man and machine, the Pentagon is launching a new program to create machines that can explain their actions in a way we puny humans can understand.
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After we published reader IT job horror stories, we received more than a 1000 comments, and you kicked it up to a whole other level. From finding porn on church systems to working IT in actual warzones, you've been to computerised hell and back.