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levity's profile
Lawrus
Lawrus
Lawrus
@levity

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Lawrus

@levity

wondering about everything • coding & cat-herding at @makerdao • existence precedes essence—or does it? ☯

Santa Cruz
Joined March 2007

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    1. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      Now let’s have some fun by considering what happens when we task some very smart engineers with creating a machine learning system capable of detecting and managing these basic network properties according to some set of content-related criterion...

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    2. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      First, we should acknowledge that such development efforts have likely been underway for some time now, as they provide precisely the type of system a social media company would need to monitor and suppress the spread of obviously illegal content: terrorism, child porn, etc...pic.twitter.com/RH0fP3PY6G

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    3. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      With these systems as our foundation, we may extend their capabilities–beyond that which is illegal–to content deemed “hateful”, more broadly. The learning systems will then need to be fed many examples of such “hateful” content in order to be capable of detecting it w/o aid...

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    4. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      This is because most of these “AI” systems represent enhanced versions of what’s known as “supervised learning”, wherein a target set (e.g. cat pictures) are given to algorithms which are very good at extracting shared “features” from the collection of targets...pic.twitter.com/wlvjriTWl7

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    5. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      Next, the learning system is shown examples that may or may not fit the bill (i.e. cat / not cat). It makes its predictions, which are then evaluated by the “supervisor”. In Google’s case, *this is you* when you select images containing stoplights to log into a website...pic.twitter.com/HkbN7n6JOd

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    6. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      But circling back to content censorship, the question very quickly becomes: Who decides the definitions of concepts such as “hate” used to train these learning systems? And at present, the answer is: Whoever writes the code, or manages those that do...

      1 reply 1 retweet 4 likes
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    7. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      Which clearly demonstrates another vector by which ideological bias-intentional or otherwise-finds its way into the systems governing the behavior and evolution of our communication networks. Those who obsess over bias in other spheres are most likely to encode their own here...

      3 replies 1 retweet 3 likes
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    8. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      In any case, these examples are just scratching the surface of what's possible, but I wanted to demonstrate clearly that: - You're not going to detect these changes from the outside, using unsophisticated approaches. - This kind of "network flow management" is all around you...

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    9. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      These are not "conspiracy theories". They are the logical conclusion of centralized technology companies applying modern network science to domains where the technology creators and managers are themselves incapable of removing their own political biases from the equation...

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    10. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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      The fundamental takeaway: Until we ensure the transparency of the processes and algorithms by which our information flow is managed, we will continue to witness the emergence of tools more powerful than humanity has ever known, capable of changing thought patterns at scale...

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      Lawrus‏ @levity 5 Mar 2019
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      Replying to @MattPirkowski

      I agree with your assessment. But I don’t think transparency is the solution. Even if the algorithm could be transparent & still performant, the resulting cacophony of public opinion about its decision-making would be impossible to address in any useful way.

      4:02 PM - 5 Mar 2019
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        2. Lawrus‏ @levity 5 Mar 2019
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          Replying to @levity @MattPirkowski

          As difficult as it may seem in the short term, I think the only long-term solution is “voting with our feet”—if we don’t trust Twitter to “manage” our communication, we have to find or create some other platform we do trust. To spur competition around ideology & functionality.

          1 reply 0 retweets 1 like
        3. Lawrus‏ @levity 5 Mar 2019
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          Replying to @levity @MattPirkowski

          Yes, we are all lab rats in an experiment in large-scale social control. Despite this, despite our communication being manipulated by unseen forces & hidden agendas, it is still “good enough”, so we keep using it. We trade convenience against ideological purity.

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        2. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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          Replying to @levity

          There exist different modes of transparency. I want the present government to regulate the large entities because ultimately, I want them to die. Without the increased drag of a meddling state, it seems unlikely their emergent competition stands a chance. A necessary evil.

          1 reply 0 retweets 0 likes
        3. Matthew Pirkowski‏ @MattPirkowski 5 Mar 2019
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          Replying to @MattPirkowski @levity

          But if we can seed new modes of collective sensemaking in the private space, these may then be grafted back upon the domain of government to improve its capacity for global scale emergent sensemaking.

          0 replies 0 retweets 0 likes
        4. End of conversation

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