Rezultati pretraživanja
  1. prije 4 sata

    First keynote of "Machines Judging Humans"

  2. prije 1 sat

    Paper session 2: More fairness

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  3. prije 3 sata

    Melissa McCradden points out how definition of fairness in AI in health care fails to include downstream consequences for patients

  4. prije 3 sata

    Flattered to get a reference at from (+ a notable difference between descriptive and prescriptive assessments of these metaphors: lead paint and plutonium are both horrendously toxic, instructive to consider why and how one was controlled, the other not.

  5. prije 4 sata

    Day 1 of starts with a keynote from : "Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria"

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  6. UBC grad (SSHRC postdoc at CMU) will be presenting his recent work, "Algorithmic Fairness from a Non-ideal Perspective", (co-authored with ) at the conference on Artificial Intelligence, Ethics and Society () in New York tomorrow, Feb 8th.

  7. prije 2 sata

    Interesting presentations on fairness at

  8. prije 3 sata

    Next up is on “When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning”

  9. Bummed not to be at , but please say hello to and talk to her about our paper "More Than 'If Time Allows': The Role of Ethics in AI Education"!

  10. prije 2 sata

    Here at off to a fantastic start with framing issues of algorithmic accountability in political economics and offering valuable experience to think through strategies to support those who are reforming AND those who are critiquing algorithmic systems.

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  11. prije 3 sata

    The Agony of Scoring: highlights challenges in using AI for hospital scoring: can we perfect algorithmic systems to rate hospitals and would low resource areas continue doing worse in a score driven system?

  12. If you can't be there along with us today at -- livetweeting is the next best thing :)

  13. Much of the AI (including AI fairness and ethics) work would radically improve or disappear if this Weizenbaum insight was to be taken on board. This is what's going through my head as I sit here listening to some presentations

  14. prije 17 sati

    Opening keynote at : Charlton McIlwain, Computerize the Race Problem? Why We Must Plan for a Just AI Future – mjesto: NYU Cantor Film Center

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  15. prije 13 minuta

    Folks at or following interested in standards for interdisciplinarity and review, here is a poll: In 2020, technical work implementing a fairness metric should include social science/participatory methods/contextual evidence to inform the formulation of the metric

  16. prije 2 sata

    Discussions of fairness metrics without any analysis of the power structures within which those metrics are deployed are completely useless.

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  17. prije 18 sati

    Just arrived in NYC for . Looking forward to presenting our work (with ) on Saturday. We’re in Paper Session 6: Fairness & Value Alignment. Come to the talk if you’re around! Here’s a link to the paper:

  18. prije 22 sata

    I'll be livetweeting the conference all weekend. Fair warning, mute me now. DMs are open if anyone at the conference wants to chat or meet up at the event.

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  19. prije 16 minuta
  20. Six papers were published this at year’s conference by FHI researchers, affiliates and collaborators. Aaron Tucker and are there to present. Summaries & links follow. [1/7]

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