Human vs. Machine: The Great Challenge of Our Time - The Diigo Meta page

• 28 Sep 11
  

  david osimo

  toread humanvsmachine social_computing semanticweb algorythm imported

• 28 Feb 08
  

  isaac Mao

  Computing P2R

• 29 Jan 08
  

  Adam Crowe

  "Figuring out the right balance of man and machine is one of the great challenges of our time." -- Cory Doctorow: "... ranking algorithms are editorial: they embody the biases, hopes, beliefs and hypotheses of the programmers who write and design them."

  * web search algorithms machinelearning socialsearch editorial bias semanticweb google mahalo wikia opensource peerproduction collectiveintelligence spam seo damage healing equalibrium adwords markets derivatives futures hedging networks networkeffects fe

• 16 Jan 08
  

  annest

  Remember William Gibson's dictum: "The future is here. It's just not evenly distributed yet."

  future internet relationships tietoyhteiskunta tech työ

• 13 Jan 08
  

  Steve Lynch

  future innovation web2.0 humanity

• 07 Jan 08
  

  Piers Young

  ... "bionic software," the idea that one of the distinguishing characteristics of Web 2.0 is that its applications are a new hybrid of man and machine, driven by algorithmic interpretation of aggregated human activity...

  social_computing semanticweb oreilly futurejargon

• 06 Jan 08
  

  tony curzon price

  I've written quite a bit about "bionic software," the idea that one of the distinguishing characteristics of Web 2.0 is that its applications are a new hybrid of man and machine, driven by algorithmic interpretation of aggregated human activity. Recent turmoil in financial markets show us just how such systems can run amok.
  
  Figuring out the right balance of man and machine is one of the great challenges of our time. We're increasingly building complex systems that involve both, but in what proportion?
  
  Bill Janeway will be talking at the conference with Rick Bookstaber, author of A Demon of Our Own Design. Bookstaber was the head of risk management for Morgan Stanley, and now runs a hedge fund. He argues that the very techniques originally developed to manage risk via computational means have actually increased risk. He asks whether we can put the genie back in the bottle, and whether we can afford not to.
  
  Incidentally, this same issue is playing itself out in the world of Web 2.0 itself, with new search engines, from Jason Calacanis' mahalo to Jimmy Wales' Wikia Search making the argument that a purely algorithmic approach is fundamentally flawed. In response to yesterday's announcement of Wikia Search, Cory Doctorow wrote, in a BoingBoing editorial entitled Wiki-inspired "transparent" search engine:
  
  We have a notion that the traditional search engine algorithm is "neutral" -- that it lacks an editorial bias and simply works to fulfill some mathematical destiny, embodying some Platonic ideal of "relevance." Compare this to an "inorganic" paid search result of the sort that Altavista used to sell.
  
  But ranking algorithms are editorial: they embody the biases, hopes, beliefs and hypotheses of the programmers who write and design them.
  
  Mahalo is placing a bet on human intervention in search results; Wikia Search on the power of making its ranking algorithms open and transparent (a la open source software). But both are trying to re-draw the boundary between human and machine.

  economics google manipulation montpelerin

• 05 Jan 08
  

  Jill ONeill

  socialnets collaboration

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