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"YouTube will rely more on machine learning and less on human reviewers during the coronavirus outbreak. Normally, algorithms detect potentially harmful content and send it to human reviewers for assessment. But these are not normal times, and in an effort to reduce the need for employees and contractors to come into an office, YouTube will allow its automated system to remove some content without human review."

"MEETINGS ON ZOOM, the increasingly popular video conferencing service, are encrypted using an algorithm with serious, well-known weaknesses, and sometimes using keys issued by servers in China, even when meeting participants are all in North America, according to researchers at the University of Toronto."

"The upshot is that people are getting way more videos in their Instagram feeds, and it's going full screen for those videos, so it scrolls like TikTok. But that's not all: people are now also seeing "suggested posts", which works in a TikTok-style algorithm that brings in random posts from people you don't follow into your feed."

"Facebook's gol' durn algorithm is acting up again, say humans working at Meta, who apparently have no control over the automated system that approved ads calling for the murder of Brazilian President Luiz Inacio Lula da Silva and his children."

""Employers are increasingly exploiting metadata logged by software and devices for performance analytics and algorithmic control," Christl added. "MS is providing the tools for it. Practices we know from software development (and factories and call centres) are expanded to all white-collar work.""

"To thwart such hackers, Elon Musk's OpenAI and Pennsylvania State University released a new tool this week called "cleverhans," that lets artificial intelligence researchers test how vulnerable their AI is to adversarial examples, or purposefully malicious data meant to confuse the algorithms. Once the vulnerability has been found, a defense to the attack can automatically be applied."

"From a computer science perspective, learning the behaviour of a single user is tough. This is the small data problem; unlike big data, where patterns and trends easily emerge, individual human beings can be unpredictable and can change behaviour, which is not helpful for pattern-hunting algorithms."

"Big data and artificial intelligence are some of today's most popular buzzwords. Both are promised to help deliver insights that were previously too complex for computer systems to calculate. With examples ranging from personalised recommendation systems to automatic facial analyses, user-generated data is now analysed by algorithms to identify patterns and predict outcomes. And the common view is that these developments will have a positive impact on society."

"Hangzhou Zhongheng Electric is just one example of the large-scale application of brain surveillance devices to monitor people's emotions and other mental activities in the workplace, according to scientists and companies involved in the government-backed projects. Concealed in regular safety helmets or uniform hats, these lightweight, wireless sensors constantly monitor the wearer's brainwaves and stream the data to computers that use artificial intelligence algorithms to detect emotional spikes such as depression, anxiety or rage."

"We are talking about vast fields of aggregate data, the scale of which is difficult to comprehend; this data can be parsed by the artificial intelligence recommendation algorithms that Google has pioneered, and that now steer everything from employment application processes to dating apps."

"Will Knight wrote. "Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey… . The car didn't follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it. "Getting a car to drive this way was an impressive feat. But it's also a bit unsettling, since it isn't completely clear how the car makes its decisions…. What if one day it did something unexpected-crashed into a tree, or sat at a green light? As things stand now, it might be difficult to find out why." "

"Apart from biases in the training databases, it's hard to know how well face-recognition systems actually perform in the real world, in spite of recent gains. Anil Jain, a professor of computer science at Michigan State University who has worked on face recognition for more than thirty years, told me, "Most of the testing on the private venders' products is done in a laboratory environment under controlled settings. In real practice, you're walking around in the streets of New York. It's a cold winter day, you have a scarf around your face, a cap, maybe your coat is pulled up so your chin is partially hidden, the illumination may not be the most favorable, and the camera isn't capturing a frontal view.""

"This all presents big questions for which we don't yet have answers. "At what point should kids know better?" asked David Dockterman, a lecturer at the Harvard Graduate School of Education. "When should a person's 'permanent digital record' start recording, if ever? To what extent should social media be a space for trial-and-error exploration around identity and social behavior?" "These are fantastically difficult moral dilemmas for teenagers who act impulsively, using tools that are not fully under their control, leading to consequences that perhaps none of us can anticipate," said Sonia Livingstone, professor of social psychology at the London School of Economics and Political Science. "This is the first time we've had a society in which almost by default, everything is recorded and shared and aggregated in ways that create a lifelong profile. Children should have the right to make mistakes.""

""AI can pick up missed cues and suggest nudges to bridge the gap in emotional intelligence and communication styles. It can identify optimal ways to discuss common problems and alleviate common misunderstandings based on these different priorities and ways of viewing the world. We could be looking at a different gender dynamics in a decade.""

"In the midst of a global pandemic and an unprecedented misinformation glut, Google has decided to hide some Australian news sites from its search results. It is "experimenting" with the lone supply of fact-checked, accountable information Australians can access right now."

"Meta estimates about 100,000 children using Facebook and Instagram receive online sexual harassment each day, including "pictures of adult genitalia", according to internal company documents made public late Wednesday."

"huge public corporations launch products that are known to "hallucinate" "