Algorithm Might Protect Non-Targets Caught In Surveillance, But Only If The Government ... - 0 views
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"It's highly unlikely investigative or intelligence agencies have much of an interest in protecting the privacy of non-targeted citizens, even in non-terrorist-related surveillance -- not if it means using alternate (read: "less effective") investigative methods or techniques. It has been demonstrated time and time again that law enforcement is more interested in the most direct route to what it seeks, no matter how much collateral damage is generated. "
the future of human work - 0 views
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""Could teaching be trumped by a learning machine? Are we beginning to glimpse the possibility of machines that teach themselves to teach? They learn what works, what doesn't and deliver ever better performance. We see the embryonic evidence for this in adaptive learning systems, that are truly algorithmic, and do use machine learning, to improve as they deliver. The more students they teach, the better they get. They even tech themselves. This is not science fiction. This is real AI, in real software, delivering real courses, in real institutions." - Donald Clark"
Trump idea on regulating Google 'unfathomable' - Channel NewsAsia - 1 views
How social media destroyed the web's art communities / Boing Boing - 0 views
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"Algorithms steer us back to similar content in echo chambers that inhibit both critical and creative thinking. Platforms incentivized to keep users scrolling discourage long-looking and render users as passive consumers, rather than active seekers of inspiration. They aren't a space for productive feedback, either: Art takes on a different tone when it's surrounded by dog GIFs, political memes, and your cousin's baby photos."
"The Biology of Disinformation," a paper by Rushkoff, Pescovitz, and Dunagan / Boing Boing - 0 views
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"Already, artificially intelligent software can evolve false political and social constructs highly targeted to sway specific audiences. Users find themselves in highly individualized, algorithmically determined news and information feeds, intentionally designed to: isolate them from conflicting evidence or opinions, create self-reinforcing feedback loops of confirmation, and untether them from fact-based reality. And these are just early days. If memes and disinformation have been weaponized on social media, it is still in the musket stage."
Facebook fires trending team, and algorithm without humans goes crazy | Technology | Th... - 0 views
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"Facebook announced late Friday that it had eliminated jobs in its trending module, the part of its news division where staff curated popular news for Facebook users. Over the weekend, the fully automated Facebook trending module pushed out a false story about Fox News host Megyn Kelly, a controversial piece about a comedian's four-letter word attack on rightwing pundit Ann Coulter"
In the age of the algorithm, the human gatekeeper is back | Technology | The Guardian - 0 views
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"Facebook is mired in a series of controversies about the curation of its news feed, from its broadcasting live killings, to editing out an iconic photo of the Vietnam war, to accusations of political bias. It recently tried to smooth the process out by firing its human editors … only to find the news feed degenerated into a mass of fake and controversial news stories."
Software 'no more accurate than untrained humans' at judging reoffending risk | US news... - 0 views
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"The algorithm, called Compas (Correctional Offender Management Profiling for Alternative Sanctions), is used throughout the US to weigh up whether defendants awaiting trial or sentencing are at too much risk of reoffending to be released on bail. Since being developed in 1998, the tool is reported to have been used to assess more than one million defendants. But a new paper has cast doubt on whether the software's predictions are sufficiently accurate to justify its use in potentially life-changing decisions."
Tastemakers: can a robot really know what we'll want to eat? | Life and style | The Gua... - 0 views
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"An algorithm has no tastebuds; a neural net never gets the munchies. So can a robot brain really tell us what we'll want to eat? The question is whether AI systems will be able to excel in the sensual, creative work of tasting and developing new foods - and what we stand to gain or lose by inventing foods that really have our number."
Chinese schools are testing AI that grades papers almost as well as teachers | VentureBeat - 0 views
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"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."
The Matchmaking Algorithm That Lets Zoos Swipe Right on Animals - 0 views
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"The animal matchmaking program isn't just for gorillas, and it takes some things into consideration that probably aren't on Tinder's radar. It scores every animal on a variety of traits (and when we say "every" animal, we mean there's an entry for each flamingo in each American zoo), including social skills, age, experience, family history, and interpersonal relationships. Oh, and genetic diversity. Animals with rare genes are more valuable to breeding programs because their offspring will introduce more genetic diversity into the dating pool."
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