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Economistと人工知能に関するAKANE_Daigoのブックマーク (5)

  • Answering the machinery question

    THE ORIGINAL MACHINERY question, which had seemed so vital and urgent, eventually resolved itself. Despite the fears expressed by David Ricardo, among others, that “substitution of machinery for human labour…may render the population redundant”, the overall effect of mechanisation turned out to be job creation on an unprecedented scale. Machines allowed individual workers to produce more, reducing

    Answering the machinery question
    AKANE_Daigo
    AKANE_Daigo 2016/07/06
    汎用人工知能の実現はまだ先で、10〜20年先までのインパクトは産業革命ほどのスケールにはならないだろう、みたいな。大局的な見方だな。
  • Frankenstein’s paperclips

    Frankenstein’s paperclipsTechies do not believe that artificial intelligence will run out of control, but there are other ethical worries AS DOOMSDAY SCENARIOS go, it does not sound terribly frightening. The “paperclip maximiser” is a thought experiment proposed by Nick Bostrom, a philosopher at Oxford University. Imagine an artificial intelligence, he says, which decides to amass as many papercli

    Frankenstein’s paperclips
    AKANE_Daigo
    AKANE_Daigo 2016/07/03
    人間の制御を超えるような進化をするAIは現時点では考えにくい。それよりも、既に人間を超える精度の顔認識技術によるプライバシー上の懸念や、軍事分野や自動運転などで人の生死を判断する是非などが今日的な課題
  • Re-educating Rita

    Re-educating RitaArtificial intelligence will have implications for policymakers in education, welfare and geopolitics IN JULY 2011 Sebastian Thrun, who among other things is a professor at Stanford, posted a short video on YouTube, announcing that he and a colleague, Peter Norvig, were making their “Introduction to Artificial Intelligence” course available free online. By the time the course bega

    Re-educating Rita
    AKANE_Daigo
    AKANE_Daigo 2016/07/02
    AIによって業務の転換が必要になった人が新しいスキルを身につけられるような教育システムや、セーフティネットとしてのベーシックインカム、これまでの途上国の成長モデルが成り立たないという地政学的な話など
  • Automation and anxiety

    SITTING IN AN office in San Francisco, Igor Barani calls up some medical scans on his screen. He is the chief executive of Enlitic, one of a host of startups applying deep learning to medicine, starting with the analysis of images such as X-rays and CT scans. It is an obvious use of the technology. Deep learning is renowned for its superhuman prowess at certain forms of image recognition; there ar

    Automation and anxiety
    AKANE_Daigo
    AKANE_Daigo 2016/07/01
    過去を参考にするならば新しい技術によってトータルの雇用は増える。(ATMの例)ただし、減少する業務と増加する業務のタスクは異なる可能性があり、変化に追従するためには新しいスキルを素早く身につける必要がある
  • From not working to neural networking

    AKANE_Daigo
    AKANE_Daigo 2016/06/29
    EconomistによるAI技術についての解説。ニューラルネットワーク、深層学習、GPUの活用、教師あり学習、ImageNetでのブレークスルー、教師なし学習、Googleの猫認識、強化学習、転移学習などの話が出てくる。
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