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  1. 30. sij

    What's the best *part* of ? The WHOLE! 🙌🙌🙌

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  2. 30. sij

    Exploring the algorithmic ecology - abolition is not just about conflict resolution but also about addressing the root causes of the problems you're looking to solve!

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    30. sij

    If you enjoyed the pad of riseup during , please consider donating to community-driven projects that build privacy-aware, independent and free(as in freedom) communication infrastructures 👇

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  4. 30. sij

    Rethinking norms through advocacy and strategic litigation ~ My favorite slide from today A great reminder for the need of an intergenerational mindset when working on the issues of fairness, accountability, and transparency in AI!

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  5. 30. sij

    Highlightinh the challenges in operationalizing Explainabile AI methods and the need for broader and participatory approaches & 👐

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    30. sij

    Fascinating talk by comparing goals of welfare economics to ML fairness, demonstrating how fairness constraints can make everyone worse off

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    29. sij

    Our colleague presented today at on using legitimacy as a test on when NOT to design, build or deploy algorithmic systems

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  8. 30. sij

    Understanding and renovating our existing theories of change An epistemic reform, challenging the social discource of risk assessments algorithms vs their fairness.

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  9. 29. sij

    The problems of (1) reducing environmental degradation and (2) reducing negative impacts of AI could be deconstructed into similar components ➡️ we could leverage recent Climate Governance models to propose a perspective on “how not to design, build, or deploy AI”

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  10. 29. sij

    Looking forward to the discussion of when to NOT design, build, and deploy AI models and systems (*when* as well as *how*)! So excited to contribute (and nervous) ⬇️

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  11. 28. sij

    Methods should be made explicit otherwise we're doomed with the "Garbage in, garbage out" tragedy of data collection! Thanks !!

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    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. 🙌🏻

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    27. sij

    Great tutorial at on how organizations go from fairness being nice-to-have (and reacting after the fact to catastropne) to anticipating risks and aligning around fairness. Thanks

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  14. 28. sij

    There's a need for deep intimacy with our precarious present! Fascinating work from & Mark Alfano , so very aligned with our findings from the work on

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  15. 28. sij

    Thanks for the great talk! Very curious about the potential intersection between the findings from your interviews among community organizers and our work on

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  16. 28. sij

    Deconstructing ethics through the lens of moral philosophy considering (1) process vs outcomes, (2) AI Ethics as a discourse, (3) context matters, (4) capaciousness and humility - fascinating work !

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  17. 28. sij

    As a ML practitioner who's not "just an engineer" ... I'm so excited about this! Departing from formalism through methodological reform rendering social concerns legible &

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  18. 27. sij

    It is so needed to bring in Organizational Science, Systems Thinking, and Positionality-Aware perspectives into the traditional ML pipeline!! Thank You participants for such great and engaging sessions today! 👀🙏🙌

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  19. 27. sij

    Main takeaway for me - always investigate and demand for diverse perspectives! No view is a view from nowhere!

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  20. 27. sij

    Exploring through a positionality lense about the use of facial recognition for travel and border control! So great hearing from , , and team at the !

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