Hanna Wallach

@hannawallach

MSR NYC. Machine learning, computational social science, fairness/accountability/transparency. general chair, WiML co-founder, sloth enthusiast.

Brooklyn, NY
dirichlet.net
Vrijeme pridruživanja: rujan 2012.
32 fotografije ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    17. svi 2018.

    So uh I've been taking one photo a day since the start of 2018. Follow here:

    9 replies 5 proslijeđenih tweetova 96 korisnika označava da im se sviđa
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  2. proslijedio/la je Tweet
    2. velj

    I'm reviewing for ACL 2020 and love that they have a section for raising potential ethical concerns to the AC. I think this format should be adopted by other venues as well.

    12 proslijeđenih tweetova 117 korisnika označava da im se sviđa
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  3. proslijedio/la je Tweet
    30. sij

    Nice coverage of our interpretability studies in , alongside work by , , and others! Hope this inspires more human-centered interpretability work. w/ & others

    1 reply 18 proslijeđenih tweetova 56 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    30. sij

    We are planning to hold events, big and small, for in Ethiopia, in Austria, in Boston, in Vancouver, and more! Apply to be an organizer if you'd like to be more involved.

    Are you excited for an opportunity to organize related events in 2020? It is a great opportunity to get involved and support the community of women in machine learning! We are opening applications on January 31st, please look out for the announcement on our social media.
    50 proslijeđenih tweetova 142 korisnika označavaju da im se sviđa
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  5. proslijedio/la je Tweet
    29. sij

    Attend our Thursday CRAFT panel at on Centering Disability Perspectives in - panelists will give position statements followed by Q&A - w/ , Slides @

    6 proslijeđenih tweetova 15 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    29. sij

    . from Microsoft is sharing their work on "Co-designing checklists to understand organizational challenges & opportunities around in ." Work also by , , &

    1 reply 7 proslijeđenih tweetova 16 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    29. sij

    Pumped to present 's brilliant summer internship project on fairness checklist, co-executed with , , and yours truly, in the "Bridging the Gap from AI Ethics Research to Practice" CRAFT session at !

    1 reply 3 proslijeđena tweeta 32 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    29. sij

    Anecdotally I've found women in tech say yes to too much service, partly to prove we're part of communities where it's hard to gain acceptance. After severe service burnout I'm stepping way back starting this month and it's amazing. I have so much more time. Why do we do this?

    6 proslijeđenih tweetova 82 korisnika označavaju da im se sviđa
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  9. proslijedio/la je Tweet
    29. sij

    Sad to miss this one! If you're at and interested in datasheets, model cards, and other forms of transparency through ML documentation, you should go!

    If you’re , come to our interactive happy hour 1/29 at 7pm in the plenary room to learn about FAT* research from , tell us what documentation questions are missing from the question bank & meet our staff. All are welcome!
    1 proslijeđeni tweet 10 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    28. sij

    If you’re , come to our interactive happy hour 1/29 at 7pm in the plenary room to learn about FAT* research from , tell us what documentation questions are missing from the question bank & meet our staff. All are welcome!

    On Wednesday, PAI will host an evening satellite event to bring together members of the FAT* community to learn about PAI's research and contribute to the project:
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    6 proslijeđenih tweetova 18 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    27. sij

    crushing it at on the Meaning and Measurement of Bias! Def check out her work at

    1 reply 2 proslijeđena tweeta 20 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    25. sij

    Watch my awesome mentor talk about why it’s important to include people in the ML lifecycle. Her views on human-centered approaches and evaluation of interpretability are exactly how this field should move forward!

    People play central roles in the ML life cycle, so ensuring they have an understanding of how these systems work is critical. In this on-demand webinar, explores how a human-centric approach can contribute to trustworthy AI. Watch now:
    10 proslijeđenih tweetova 42 korisnika označavaju da im se sviđa
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  13. proslijedio/la je Tweet
    23. sij

    People play central roles in the ML life cycle, so ensuring they have an understanding of how these systems work is critical. In this on-demand webinar, explores how a human-centric approach can contribute to trustworthy AI. Watch now:

    67 proslijeđenih tweetova 209 korisnika označava da im se sviđa
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  14. proslijedio/la je Tweet
    25. sij

    Related paper: and tutorial info:

    2 proslijeđena tweeta 9 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    25. sij

    Excited to share this work on measurement and lessons from NLP with

    Assistant professor Abigail Jacobs, , is giving a tutorial on The Meaning and Measurement of Bias during the plenary session at the ACM Fairness, Accountability, and Transparency Conference in Barcelona on January 27.
    1 reply 5 proslijeđenih tweetova 49 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    24. sij

    Assistant professor Abigail Jacobs, , is giving a tutorial on The Meaning and Measurement of Bias during the plenary session at the ACM Fairness, Accountability, and Transparency Conference in Barcelona on January 27.

    1 reply 10 proslijeđenih tweetova 36 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    24. sij

    Sad to miss this year... though honestly, relieved to be in the middle of a much needed three-month break from work travel! If you'll be in Barcelona, say hi to my amazing colleagues , , , , and the rest of the MSR FATE crew!

    4 proslijeđena tweeta 34 korisnika označavaju da im se sviđa
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  18. proslijedio/la je Tweet
    16. sij

    Do you want to work on projects like and ? We have an open position for a Software Engineer. Reach out if you have questions!

    11 proslijeđenih tweetova 14 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    19. sij

    Building trustworthy ML systems requires an understanding of how they work. Discover ways that intelligibility needs arise, techniques for achieving intelligibility, and methods for expanding it to datasets in a new webinar w/ . Register now:

    18 proslijeđenih tweetova 46 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    17. sij

    Register now and save the date! Talk w/ live Q&A this coming Wednesday at 1pm ET/10am PT. Hear about the latest research supporting our human-centered agenda for transparency and intelligibility in machine learning. Submit your questions during the talk.

    Join for a webinar on transparency and intelligibility throughout the ML life cycle. Sign up now: You’ll learn about: -Designing/evaluating intelligibility in context -Intelligibility beyond the ML model -The importance of bridging ML & HCI
    7 proslijeđenih tweetova 19 korisnika označava da im se sviđa
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  21. proslijedio/la je Tweet
    13. sij

    One way to close the gap between principles and practice in is through documentation for machine learning systems at scale. Read about why supports our ongoing initiative, ABOUT ML, to build this bridge:

    9 proslijeđenih tweetova 12 korisnika označava da im se sviđa
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