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dr tech

New AI fake text generator may be too dangerous to release, say creators | Technology |... - 0 views

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    "The creators of a revolutionary AI system that can write news stories and works of fiction - dubbed "deepfakes for text" - have taken the unusual step of not releasing their research publicly, for fear of potential misuse."
dr tech

The EU's plan for algorithmic copyright filters is looking more and more unlikely / Boi... - 0 views

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    "Under the proposal, online platforms would have to spend hundreds of millions of euros on algorithmic copyright filters that would compare everything users tried to post with a database of supposedly copyrighted works, which anyone could add anything to, and block any suspected matches. This would snuff out all the small EU competitors to America's Big Tech giants, and put all Europeans' communications under threat of arbitrary censorship by balky, unaccountable, easily abused algorithms."
dr tech

These incredibly realistic fake faces show how algorithms can now mess with us - MIT Te... - 0 views

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    "The researchers, Tero Karras, Samuli Laine, and Timo Aila, came up with a new way of constructing a generative adversarial network, or GAN. GANs employ two dueling neural networks to train a computer to learn the nature of a data set well enough to generate convincing fakes. When applied to images, this provides a way to generate often highly realistic fakery. The same Nvidia researchers have previously used the technique to create artificial celebrities (read our profile of the inventor of GANs, Ian Goodfellow)."
dr tech

Twitter ordered to reveal user behind parody JD Wetherspoon account | Technology | The ... - 0 views

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    "The social network, which did not oppose the application, has until mid-January to comply. The parody accounts, @Wetherspoon__UK and @SpoonsTom, have tens of thousands of followers each on the social network, and tweet a mixture of fake updates about Wetherspoon's pubs and replies to users who mistakenly believe they are contacting the real company."
dr tech

Technologist Vivienne Ming: 'AI is a human right' | Technology | The Guardian - 0 views

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    "At the heart of the problem that troubles Ming is the training that computer engineers receive and their uncritical faith in AI. Too often, she says, their approach to a problem is to train a neural network on a mass of data and expect the result to work fine. She berates companies for failing to engage with the problem first - applying what is already known about good employees and successful students, for example - before applying the AI."
dr tech

Are Google search results politically biased? | Jeff Hancock et al | Opinion | The Guar... - 1 views

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    "This way of thinking about search results is wrong. Recent studies suggest that search engines, rather than providing a neutral way to find information, may actually play a major role in shaping public opinion on political issues and candidates. Some research has even argued that search results can affect the outcomes of close elections. In a study aptly titled In Google We Trust participants heavily prioritized the first page of search results, and the order of the results on that page, and continued to do so even when researchers reversed the order of the actual results."
dr tech

The coded gaze: biased and understudied facial recognition technology / Boing Boing - 0 views

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    " "Why isn't my face being detected? We have to look at how we give machines sight," she said in a TED Talk late last year. "Computer vision uses machine-learning techniques to do facial recognition. You create a training set with examples of faces. However, if the training sets aren't really that diverse, any face that deviates too much from the established norm will be harder to detect.""
dr tech

Tim Berners-Lee calls for tighter regulation of online political advertising | Technolo... - 0 views

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    "The 61-year-old British computer scientist described how political advertising has become a sophisticated and targeted industry, drawing on enormous pools of personal data on Facebook and Google. This means that campaigns create precisely targeted ads for individuals - as many as 50,000 variations each day on Facebook during the 2016 US election, he said."
dr tech

AI learns to write its own code by stealing from other programs | New Scientist - 0 views

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    "DeepCoder uses a technique called program synthesis: creating new programs by piecing together lines of code taken from existing software - just like a programmer might. Given a list of inputs and outputs for each code fragment, DeepCoder learned which pieces of code were needed to achieve the desired result overall. "It could allow non-coders to simply describe an idea for a program and let the system build it""
dr tech

Germany investigating unprecedented spread of fake news online | World news | The Guardian - 0 views

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    "German government officials have said they are investigating an unprecedented proliferation of fake news items amid reports of Russian efforts to influence the country's election later this year."
dr tech

How do you deal with a problem like "fake news?" - 0 views

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    "Facebook will rely on users to report fake news despite evidence that suggests users have a difficult time assessing or identifying fake news. Teens seem to be especially vulnerable to fake news. A recent study by researchers at Stanford found that middle and high school students have a difficult time detecting fake news from real news, or detecting bias in tweets and Facebook statuses."
dr tech

Methbot: a $3M-$5M/day video ad-tech fraud / Boing Boing - 0 views

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    ""Methbot" that generated $3M-$5M by creating 6,000 fake websites to embed videos in, then generating convincing bots that that appeared to watch 300,000,000 videos/day -- running virtual instances of various browsers (mostly Chrome) on virtual machines running MacOS X, from a huge pool of IP addresses"
dr tech

Discrimination by algorithm: scientists devise test to detect AI bias | Technology | Th... - 0 views

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    "Concerns have been growing about AI's so-called "white guy problem" and now scientists have devised a way to test whether an algorithm is introducing gender or racial biases into decision-making."
dr tech

Top 10 AI failures of 2016 - TechRepublic - 0 views

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    "But with all of the successes of AI, it's also important to pay attention to when, and how, it can go wrong, in order to prevent future errors. A recent paper by Roman Yampolskiy, director of the Cybersecurity Lab at the University of Louisville, outlines a history of AI failures which are "directly related to the mistakes produced by the intelligence such systems are designed to exhibit." According to Yampolskiy, these types of failures can be attributed to mistakes during the learning phase or mistakes in the performance phase of the AI system."
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