Emanuel Moss

@MannyMoss

PhD candidate in cultural anthropology. Ethnographer of data science, machine learning, and digital work.

Brooklyn, NY
Vrijeme pridruživanja: travanj 2009.

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  1. Prikvačeni tweet
    14. stu 2019.

    Recent work with and now up at on the dilemmas at the heart of ethics inside Silicon Valley. Spoiler alert: the problems are already inside the house.

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  2. prije 3 sata

    .: AI Localism as counterweight to blunt, corporatist national AI strategies that play into the myth of a global AI arms race.

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  3. proslijedio/la je Tweet

    Prof wrote "How Capitalism Underdeveloped Rural America", for , on the "toxic brew of economic suffering, racism & community decline [that] prepared the ground for authoritarian populism" in the rural US.

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  4. proslijedio/la je Tweet

    after manually annotating/labeling ~20,000 tweets & training ~15 people, feels good to have this methodological approach out in the world . Thanks to co-authors , Kyle A. McGregor, Fei-Tzin Lee, Kathleen McKeown & .

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  5. proslijedio/la je Tweet
    5. velj

    You can read the Feminist Data Manifesto-No online here:

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  6. proslijedio/la je Tweet
    5. velj

    Dr. proposes an ecological approach to data governance. “Ecology is messy. Ecology recognizes systems & relationships.”

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  7. proslijedio/la je Tweet
    5. velj
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  8. proslijedio/la je Tweet
    5. velj
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  9. proslijedio/la je Tweet
    5. velj

    Join us for the next Co-Opting event on DIPLOMACY with , and ! Tuesday, 2/11, 6-8pm at 's 370 Jay Street, 12th Floor, FREE tickets:

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  10. proslijedio/la je Tweet
    4. velj

    A few thoughts about the Iowa Caucuses: what we are seeing there is part of a larger shift, the same thing that happened with the Boeing 737 max, the MiDAS software that wrongly kicked 20k people off of unemployment in Michigan. We are seeing over and over the replacement of

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  11. proslijedio/la je Tweet
    29. lis 2019.

    (automated affect metrics) in the classroom aren’t only being entrusted to judge what student activity falls within “acceptable boundaries” (of aggregated datasets), but concurrently create disincentives that constrain one’s ability to operate w/ unconstrained agency.

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  12. 29. sij

    Great panel on When Not to Design, Build, or Deploy! To which importantly adds "When to dismantle?"

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  13. 29. sij

    Emotion detection can both be pseudoscience and also have utility. That's exactly the problem: that it will be used in and have effects on the world, and the utility of such a thing will only be that it benefits those who deploy it.

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  14. proslijedio/la je Tweet
    28. sij
    Odgovor korisnicima

    Great suggestion from on anti-technosolutionism: "Computer scientists are well-placed to tell policymakers what computing can't do!"

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  15. 28. sij

    Yup, this format feels like long commercials breaks advertising papers, airing between keynotes.

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  16. 28. sij

    Great talk and paper! How do we think about algorithmic explainability for sepsis, something doctors don’t think of as “explainable”?

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  17. proslijedio/la je Tweet
    27. sij

    “Does the age of surveillance mark such a radical break from the general thrust of capital’s need to open up new markets & exploit new raw materials?” — reviews “The Age of Surveillance Capitalism”

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  18. proslijedio/la je Tweet
    24. sij

    "We hope that we will see more nuanced ‘impact assessments’ & that we will be able to include the voices of those most affected by AI technologies, rather than technologists themselves.” — ,

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  19. 23. sij

    Nature Machine Intelligence asked and me to write a reflection at the end of 2019 on our earlier piece ("AI Safety needs social science"). It's been printed up alongside some other reflections:

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  20. 23. sij
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  21. proslijedio/la je Tweet
    21. sij

    I'm SO excited to see this project make its way to 2020. Very proud to have pitched this notion of 'positionality' to a team that could not just catch on but RUN RUN RUN with it! Congrats and will be following the conversation from BOS!

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