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Spies Replaced by AI

  • 26-10-2017 7:18pm
    #1
    Fathom
    Moderators, Category Moderators, Science, Health & Environment Moderators Posts: 9,336 CMod ✭✭✭✭


    Artificial intelligence algorithms may replace intelligence analysts someday. AI can now sift through vast amounts of big data quicker than humans, synthesizing it to discover emergent patterns of what's happening. All AI needs now is a catchy name. How about Hal, or Spock, or Data?


Comments

  • #2
    Capt'n Midnight
    Moderators, Recreation & Hobbies Moderators, Science, Health & Environment Moderators, Technology & Internet Moderators Posts: 93,567 Mod ✭✭✭✭Capt'n Midnight


    We've been here before with SIGINT, Signals intelligence.

    The idea that if you process the data you don't need eyes on the ground. It lead to the US especially being blind sided by events.

    Once your adversary knows what you are looking at you use other channels. The revolution in Iran was instigated by sharing recordings on Cassette Tapes. Everybody then had access to a tape recorder. Eavesdropping on phones and radio would have picked up nothing.


    Shortly before or during the early stages of WWII publications of certain types of nuclear physics just stopped happening in the journals of several countries. They all picked up on that , rightly concluding that each other knew a bomb was theoretically possible. I don't think AI could have done that without human intervention, possibly.



    Where AI can do well is in the drudgery of low level report. Stats and so on. Things like paralegal assistants and junior solicitors spending hours trawling through past cases is a thing of the past as software does the bulk of it these days.


  • #3
    Fathom
    Moderators, Category Moderators, Science, Health & Environment Moderators Posts: 9,336 CMod ✭✭✭✭Fathom


    Capt'n Midnight wrote: »
    Where AI can do well is in the drudgery of low level report. Stats and so on. Things like paralegal assistants and junior solicitors spending hours trawling through past cases is a thing of the past as software does the bulk of it these days.
    Big data analysis. Longitudinal studies. Emergent patterns. Develop empirical generalizations. Consistent with Wallace's Wheel of Science inductive side.


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