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"Automatically produced texts use language models derived from statistical analysis of vast corpuses of human-generated text to produce machine-generated texts that can be very hard for a human to distinguish from text produced by another human. These models could help malicious actors in many ways, including generating convincing spam, reviews, and comments -- so it's really important to develop tools that can help us distinguish between human-generated and machine-generated texts."

"It is also self-improving. The 10-year-old grading software leverages deep learning algorithms to "compare notes" with human teachers' scores, suggestions, and comments. An engineer involved in the project compared its capabilities to those of AlphaGo, the record-breaking AI Go player developed by Google subsidiary DeepMind."

"Indeed, a recent working paper in the area of machine learning suggests that the simpler the algorithm, the more likely its outcome will further disadvantage already disadvantaged groups. In other words, our social relationships are complex, and our algorithms should be, too. But in the quest to streamline processes, they aren't always, and that can be a huge problem."

"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."

""We'd have to show them 100,000 penny-farthings and tell them it's a bike," Giannandrea says. Then-looking on the bright side-he adds that "once they'd seen 100,000, they'd probably be better at identifying them than humans are.""

"Google has pledged to continue developing advanced programs using machine learning to combat the rise of extremist content, after it found that it was both faster and more accurate than humans in scrubbing illicit content from YouTube."

"Consider abstract art. We've noted that machine learning, in aiming to make an accurate prediction, constructs a high-dimensional feature space that contorts and reconfigures the data representing features of the natural world. Likewise, artists "mash and rip" features of visual reality to create a system of forms, texture, and color that richly represent features of visual experience in an alien way. The subject of representation is abstracted but represented none-the-less. "

"Iqbal Khan works as a chauffeur in Lahore. His children are in his home village in a rural area north of Peshawar. Both of these very different areas of Pakistan have the same problem for many of their young people: no means of getting access to an education. Online learning was not an option for Khan's children as the pandemic locked down schools across cities and countryside. Even as he worked to pay the school fees, his two sons, aged 16 and 13, were unable to access any lessons as their schools went digital."

"Rather than being "taught" medical knowledge, the AI was asked to learn using unsupervised deep neural networks, known as autoencoders, without being given any medical knowledge. The researchers developed a method for translating the features found by the AI-only numbers initially-into high-resolution images that can be understood by humans."

"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." "

AI and machine learning, combined with the science of turning data into insightful information (aka data science), have become more important than ever in the "new normal" to guide innovation based on new market trends and consumer preferences This article was published in thejakartapost.com with the title "How artificial intelligence helps firms stay relevant amid pandemic - Opinion - The Jakarta Post". Click to read: https://www.thejakartapost.com/academia/2020/09/21/how-artificial-intelligence-helps-firms-stay-relevant-amid-pandemic.html. Download The Jakarta Post app for easier and faster news access: Android: http://bit.ly/tjp-android iOS: http://bit.ly/tjp-ios

"That can include statistical or machine learning algorithms that rely on police records detailing the time, location, and nature of past crimes in a bid to predict if, when, where, and who may commit future infractions. In theory, this should help authorities use resources more wisely and spend more time policing certain neighborhoods that they think will yield higher crime rates."

"a word that does not exist; it was invented, defined and used by a machine learning algorithm. "

"However, since machine learning algorithms are what they eat (in other words, they function based on the training data they ingest), they inevitably end up picking up on human biases that exist in language data itself."

"I'm now realising that complete openness was limiting. Privacy is a cloak, under which we are at liberty to explore the intricacies of the self, beholden to no audience other than ourselves. I have grown up in a generation that overshares in order to be heard. Only through the slow, gruelling process of learning to be private am I really beginning to listen to myself."

"Smartphones should be banned from schools to tackle classroom disruption, improve learning and help protect children from cyberbullying, a UN report has recommended. Unesco, the UN's education, science and culture agency, said there was evidence that excessive mobile phone use was linked to reduced educational performance and that high levels of screen time had a negative effect on children's emotional stability."

"New research by scientists at Michigan State University suggests that laptops do not enhance classroom learning, and in fact students would be better off leaving their laptops in the dorm during class. Although computer use during class may create the illusion of enhanced engagement with course content, it more often reflects engagement with social media, YouTube videos, instant messaging, and other nonacademic content. This self-inflicted distraction comes at a cost, as students are spending up to one-third of valuable (and costly) class time zoned out, and the longer they are online the more their grades tend to suffer."

"KataGo's world-class AI learned Go by playing millions of games against itself. But that still isn't enough experience to cover every possible scenario, which leaves room for vulnerabilities from unexpected behavior. "KataGo generalizes well to many novel strategies, but it does get weaker the further away it gets from the games it saw during training," says Gleave. "Our adversary has discovered one such 'off-distribution' strategy that KataGo is particularly vulnerable to, but there are likely many others.""

"If you've been job hunting recently, chances are you've interacted with a resume robot, a nickname for an Applicant Tracking System, or ATS. In its most basic form, an ATS acts like an online assistant, helping hiring managers write job descriptions, scan resumes and schedule interviews. As artificial intelligence advances, employers are increasingly relying on a combination of predictive analytics, machine learning and complex algorithms to sort through candidates, evaluate their skills and estimate their performance. Today, it's not uncommon for applicants to be rejected by a robot before they're connected with an actual human in human resources. The job market is ripe for the explosion of AI recruitment tools. Hiring managers are coping with deflated HR budgets while confronting growing pools of applicants, a result of both the economic downturn and the post-pandemic expansion of remote work. As automated software makes pivotal decisions about our employment, usually without any oversight, it's posing fundamental questions about privacy, accountability and transparency."