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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    1. Prof. Anima Anandkumar‏ @AnimaAnandkumar 7 Dec 2019
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      Prof. Anima Anandkumar Retweeted Yann LeCun

      I disagree. It's difficult to understand and fix bias through #AI algorithms for #DeepLearning These are highly non-linear blackbox models. they amplify biases. many works show that trying to fix superficially is like putting lipstick on a pig. We need fresh thinkinghttps://twitter.com/ylecun/status/1203211859366576128 …

      Prof. Anima Anandkumar added,

      Yann LeCun @ylecun
      People are biased. Data is biased, in part because people are biased. Algorithms trained on biased data are biased. But learning algorithms themselves are not biased. Bias in data can be fixed. Bias in people is harder to fix. https://www.nytimes.com/2019/12/06/business/algorithm-bias-fix.html#click=https://t.co/lkLEpfDwF9 …
      33 replies 182 retweets 701 likes
      Show this thread
    2. Prof. Anima Anandkumar‏ @AnimaAnandkumar 7 Dec 2019
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      Prof. Anima Anandkumar Retweeted Prof. Anima Anandkumar

      In a recent work we report an intriguing finding to detect bias : assess hardness of different samples for #DeepLearning model. It's a first step. Using it to fix bias is much harderhttps://twitter.com/animaanandkumar/status/1203090855097057280 …

      Prof. Anima Anandkumar added,

      Prof. Anima Anandkumar @AnimaAnandkumar
      Intriguing measure of #bias in #DeepLearning We find angular distance as a robust + universal measure of hardness of a training example and corresponds with human ambiguity. @beidichen @animesh_garg @jankautz @NvidiaAI https://twitter.com/Deep__AI/status/1203028047651205120 …
      Show this thread
      3 replies 6 retweets 64 likes
      Show this thread
    3. Prof. Anima Anandkumar‏ @AnimaAnandkumar 7 Dec 2019
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      Techno centrism assumes it's plain and simple to fix deep societal issues. Along with it comes disdain for humanities : it's too difficult to fix biases in people, so let's not even bother. My experience has taught me otherwise.

      1 reply 2 retweets 14 likes
      Show this thread
    4. Prof. Anima Anandkumar‏ @AnimaAnandkumar 7 Dec 2019
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      Last year when I started #protestNIPS to push for name + cultural change at #neurips in beginning it was bimodal : trolls vs supporters. But over time, I had lots of people who had a change of heart. They told me they were not aware how badly women and minorities were treated.

      1 reply 1 retweet 10 likes
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    5. Prof. Anima Anandkumar‏ @AnimaAnandkumar 7 Dec 2019
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      People are much more open to change and in correcting their biases if we invest time and energy to engage with them, listening to them and connecting with them. This is not something bullies understand because they don't bother. Trying to slap technology would be disastrous

      2 replies 2 retweets 13 likes
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      Prof. Anima Anandkumar‏ @AnimaAnandkumar 7 Dec 2019
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      Prof. Anima Anandkumar Retweeted Rachel Thomas

      This is a great tweet by @math_rachelhttps://twitter.com/math_rachel/status/1197503197813755904?s=21 …

      Prof. Anima Anandkumar added,

      Genuine, rapid progress
• Shazam, reverse img search
• Face recognition
• Med. diagnosis from scans
• Speech to text
• Deepfakes
Imperfect but improving
• Spam detection
• Copyright violation
• Automated essay grading
• Hate speech detection
• Content recommendation
Fundamentally dubious
• Predicting recidivism
• Predicting job success
• Predictive policing
• Predicting terrorist risk
• Predicting at
      Rachel Thomas @math_rachel
      3 areas of AI development: - Genuine, rapid progress: perception ethics issues due to accuracy - Imperfect but improving: automating judgement ethics issues b/c inevitable mistakes - Fundamentally dubious: Predicting social outcomes ethics issues amplified by inaccuracy pic.twitter.com/SuKwVii1mw
      Show this thread
      8:01 PM - 7 Dec 2019 from Vancouver, British Columbia
      • 1 Retweet
      • 14 Likes
      • gabriela is back Bishnu Sarker Barbara Kremers Mariia Garkavenko April Follies Timnit Gebru HooraRM Nedjma Ousidhoum نجمة أوسيدهم J. ''cares too much about data'' Shanahan
      1 reply 1 retweet 14 likes
        1. Puneet Singh Ludu‏ @puneetsl 7 Dec 2019
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          Replying to @AnimaAnandkumar @math_rachel

          Thanks for sharing! I was thinking on the same lines but this is so much organized. Basically, any problem where making one wrong decision can outweigh the benefits of doing most right decisions in terms of human life, should not be pursued with ML/AI.

          0 replies 0 retweets 1 like
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