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avibryant's profile
Avi Bryant
Avi Bryant
Avi Bryant
@avibryant

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Avi Bryant

@avibryant

Happiest when working on Random Forests from random beaches.

Galiano Island
avibryant.com
Joined November 2006

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    1. Isaac Hepworth‏ @isaach 24 Nov 2017

      Isaac Hepworth Retweeted Scott Kupor

      @avibryanthttps://twitter.com/skupor/status/933755879786033152 …

      Isaac Hepworth added,

      Scott Kupor @skupor
      Can A.I. Be Taught to Explain Itself? https://nyti.ms/2hR2weQ 
      1 reply 0 retweets 1 like
    2. Andrew Catton‏ @andrewcatton 24 Nov 2017
      Replying to @isaach @avibryant

      Is anyone working on a totally disconnected complementary narrative-generating module that just makes up a plausible-sounding explanation for a decision? You know, like we humans do?

      1 reply 0 retweets 2 likes
    3. P. Oscar Boykin‏ @posco 24 Nov 2017
      Replying to @andrewcatton @isaach @avibryant

      So... actually. This is exactly what we do.

      1 reply 0 retweets 2 likes
    4. Andrew Catton‏ @andrewcatton 24 Nov 2017
      Replying to @posco @isaach @avibryant

      When I say "disconnected" I mean no cheating and looking at the model that generated the decision. Just make up something that sounds good.

      1 reply 0 retweets 0 likes
    5. P. Oscar Boykin‏ @posco 24 Nov 2017
      Replying to @andrewcatton @isaach @avibryant

      We train another, much simpler model on the output of the first. So we don’t look at the model, but we do look at the inputs and outputs. I think this is exactly what you mean no?

      1 reply 0 retweets 1 like
    6. Andrew Catton‏ @andrewcatton 24 Nov 2017
      Replying to @posco @isaach @avibryant

      Well I was going for a jab at we humans overestimating our ability to explain our own decisions and not just come up with a good story after the fact. I had hope that being able to look at the model might actually help better explain ML decisions than less inspectable human ones.

      1 reply 0 retweets 0 likes
    7. P. Oscar Boykin‏ @posco 24 Nov 2017
      Replying to @andrewcatton @isaach @avibryant

      Probably much like our own brain, modeling the model as a black box makes a more generalizable explanation system.

      1 reply 0 retweets 0 likes
    8. Andrew Catton‏ @andrewcatton 24 Nov 2017
      Replying to @posco @isaach @avibryant

      I guess you can use enough inputs and outputs to do something akin to behavioral science on your models, which is actually useful. When I make a single decision and tell you why, I don't have enough observations so I have to make something up.

      1 reply 0 retweets 0 likes
    9. Andrew Catton‏ @andrewcatton 24 Nov 2017
      Replying to @andrewcatton @posco and

      Or I'm smarter about it and consult human behavioral studies more generally. Then I just apply the best generic explanation for a person making a similar decision to my own case. It probably has something to do with whether I made the decision just before or just after lunch.

      1 reply 0 retweets 0 likes
      Avi Bryant‏ @avibryant 24 Nov 2017
      Replying to @andrewcatton @posco @isaach

      This seems like a constructed narrative explanation for how you construct narrative explanations, if you ask me.

      12:37 PM - 24 Nov 2017
      • 5 Likes
      • Andrew Catton Isaac Hepworth April Underwood Tom Brearley P. Oscar Boykin
      1 reply 0 retweets 5 likes
        1. Andrew Catton‏ @andrewcatton 24 Nov 2017
          Replying to @avibryant @posco @isaach

          100%

          0 replies 0 retweets 0 likes
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