Rezultati pretraživanja
  1. 29. sij

    One of the best things I've heard from : We need to stop trying to continuously optimize broken technologies, and instead, start questioning their existence.

  2. I am honored and v. happy, that my work resonates with this community. It was my 1st time at and I cannot think of a more welcoming, more inspiring community. It truly feels like I found 'my people'. Thank you to all who made this conference possible. 🙏👏

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  3. 29. sij

    Great paper: major US companies that offer automated hiring systems in the UK rely on US understandings of discrimination law & ethnic groups when operating in Europe & may not comply w. data protection law

  4. 29. sij

    Wanna say, deserves all the call-outs she's getting in this keynote, and more: one of the most brilliant, incisive, and generous colleagues I've had the pleasure to work with (and that's saying something). Never a bad time to say I stan!

  5. asks us what is fairness? This week I hope we also ask: for who is fairness, what does it take in different contexts, and which people are expected to put in the work?

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  6. 28. sij

    Pre-trial risk scoring systems focus on defendants. What if they focussed on judges? 's challenge to to "study up" - to research and develop in a way that puts the magnifying glass over structures of power instead of solely marginalised groups.

    Slide of judge risk system evaluation and criteria - idea judges would be horrified by the idea demographic factors affect their decision-making, but we accept these in models of recidivism.
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  7. 28. sij

    Awesome talk by at on closing the AI accountability gap! The paper draws on several other domains to develop new approaches for AI accountability.

  8. 28. sij

    Very good question at : how do we handle situations where even ethical and accountable design decisions can degrade over time if and when social situations evolve? Ethical design requires ongoing, regular auditing just as we see in industries like the financial sector. 🙌🏻

  9. The new acronym for FAT* is here! Starting with the 2021 conference, we’ll be ACM FAccT for ‘Fairness, ACCountability, and Transparency’ 1/

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  10. 27. sij

    Pithy observation from at , followed by important exploration of the confusing state of online gender classification and innovative ideas around how GDPR might help untangle it and rectify persistent patterns of misgendering.

    Women's rights are human rights. Digital rights are human rights. Women's digital rights are..."data ethics"?!
  11. 28. sij

    FINALLY someone () cites the great work of Goldblum, 1993 in an academic context

  12. 30. sij

    Huge congrats to exec committee founding members: Sorelle Friedler, , !! Much gratitude for all you've done for the community!

  13. 29. sij

    Keynote by Yochai Benkler on Productivity and Power at // "firms want to 'funnel' the algorithmic fairness discourse on ways that are less threatening to them" – mjesto: Hotel Barceló Sants

  14. 28. sij

    Interesting findings by here is at - it's no so simple to blame YouTube recommendation for polarization/radicalization

  15. Important conference links: - livestream (Tue onwards): (videos uploaded later) - each session has an Etherpad where Qs for speakers will be captured: (please contribute responsibly and respectfully!) - conference hashtag:

  16. 28. sij

    Really interesting methodological discussion by m about how to study socio-technical systems: if access to data itself is blocked—investigate the institutional processes that bring it into being and operationalize bias and discrimination.

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  17. 28. sij

    🙋 Hey data scientists!!!

  18. 30. sij

    My takeaway from : I've just found a community which I would like to belong. Questioning the 'status quo' of AI from different perspectives to enforce social justice & human rights.

  19. Honestly, police using ANY machine learning/algorithmic-based computational or predictive tools is terrifying. Police do not make us safer. Giving police more tools to expand, increase, or hasten surveillance or criminalization is a terrible idea.

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  20. 28. sij

    I always appreciate ⁦⁩ ‘s research, perspective & pointed humor at conferences One gem below.

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