Agata Foryciarz

@agatafshsh

CS/AI PhD student at Stanford: AI in Healthcare, fairness, transparency & regulation 🇵🇱🇪🇺🏳️‍🌈 / technology is political / she/her

San Francisco-Warszawa-Kraków
Vrijeme pridruživanja: svibanj 2011.

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  1. Prikvačeni tweet
    17. sij

    Check out our latest work 'Black-Boxed Politics: Opacity is a Choice in AI Systems,' where and I break down the human decisions that go into AI system design and argue against "black boxing" decisions that impact humans.

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  2. proslijedio/la je Tweet
    1. velj

    Googlers, if you're shocked that your company gives money to Mitch McConnell, Susan Collins, and a roster of anti-LGBT, anti-immigrant extremists, here is a list of every employee contributor to the PAC. Talk to them! They may be as surprised as you are.

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  3. proslijedio/la je Tweet
    1. velj

    Google gave $5000 to Senator Martha McSally, a prominent opponent of LGBT rights who has also called for withholding health care from undocumented people, on December 20.

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  4. 2. velj

    Flying pre-2018: yay free row Flying post-2018: if I lie down does it count as doing 3 carbon footprints??

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  5. proslijedio/la je Tweet
    1. velj

    Interesting piece by Rodrigo Ochigame on the surprisingly long prehistory of "algorithmic fairness"

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  6. proslijedio/la je Tweet
    1. velj

    This is eye-opening about a job background check crawling a social media history with a shitty classification layered on top. The pabulum on the vendors website is something else.

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  7. proslijedio/la je Tweet
    31. sij
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  8. proslijedio/la je Tweet
    1. velj

    I've also noticed this. Engineering responsibility for some reason is something no one seems to want to talk about in machine learning. When a model misbehaves, there's a tendency to treat it like a child gone wild rather than the expected consequence of a set of design choices.

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  9. proslijedio/la je Tweet
    30. sij

    Repect to all the researchers presenting at but the fair down the street is where the real intellectual fireworks were today. I wish there was a critical art intervention at every tech conference I went to!

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  10. proslijedio/la je Tweet
    31. sij
    Odgovor korisniku/ci

    The brightest minds of our generation are working to optimize advertising algorithms

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  11. proslijedio/la je Tweet
    31. sij

    "White Collar Crime Risk Zones uses machine learning to predict where financial crimes are likely to occurr" Are there any other similar provocations which explore inverting the usual power structures of predictive systems?

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  12. proslijedio/la je Tweet
    30. sij

    More smart human rights minds inside the big tech companies is only a good thing if it doesn't prolong the myth that these companies can regulate themselves. We need rights enshrined in strong laws & real consequences when rights are abused.

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  13. proslijedio/la je Tweet
    30. sij

    Fantastic work by and co. on explainability here at . Can’t wait to dive deeper into this!

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  14. proslijedio/la je Tweet
    29. sij

    Two interconnected papers looking at bias in (semi-)automated hiring platforms that deserve greater diffusion: … and

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  15. proslijedio/la je Tweet
    29. sij
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  16. proslijedio/la je Tweet
    29. sij

    Not to be missed at today's : CRAFT session 'From Theory to Practice: Where do Algorithmic Accountability and Explainability Frameworks Take Us in the Real World', starting 15:00, room MR7

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  17. 28. sij

    I also got to meet half of my twitter heroes irl over the last two days, I am truly living the dream

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  18. 28. sij

    So this week I'm at FAT* in Barcelona, staying at an airbnb with a host who's also a fortune teller. I spend my days moving between tech and STS talks, policy workshops and hanging out with my host who tells me about Catalan politics, Tarot and auras. I don't want to leave ever.

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  19. 28. sij

    "[...] it’s easy to get conspiratorial and to fall comfortably into black and white notions of good versus evil. “Uncanny Valley” is a reminder that the reality is far more muddled but no less damning."

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  20. 28. sij

    Fangirling so hard rn can't wait to watch this

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  21. proslijedio/la je Tweet
    28. sij

    Hi ! Here is the table + our paper link. TL;DR Achieving accountable and trustworthy AI means designing interventions as *socio*-technical systems with constant input from stakeholders and local expertise (not necessarily an explainable model).

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