Jenn Wortman Vaughan

@jennwvaughan

Sr Principal Researcher at Microsoft Research, NYC. Interested in people+AI, machine learning, FATE, algorithmic economics, crowdsourcing. WiML co-founder.

Brooklyn, NY
Vrijeme pridruživanja: listopad 2014.

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  1. Prikvačeni tweet
    4. stu 2019.

    More opportunities to join us at MSR NYC! Our interdisciplinary lab is hiring researchers and postdocs in FATE, computational social science, economics & computation, systems, and ML. Check out our postings! (And potential interns, check back soon!)

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  2. proslijedio/la je Tweet

    Could up to $25,000 USD help you complete your dissertation? Show us the impact of your research and you could receive funding from a North American Dissertation Grant for academic year 2020–21 to complete your doctoral thesis work:

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    1. velj
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  4. proslijedio/la je Tweet

    it's faculty job hunting season! i wrote up the advice i give my students and others as they start interviewing. tips are mostly relevant to HCI/CS interviews ::

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  5. 30. sij

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

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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 , , &

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    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 !

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  8. 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?

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  9. 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!

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    27. sij

    Especially timely article on that will be of interest to those at . Come to our CRAFT panel Thursday to discuss related topics.

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    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!

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  12. 25. sij

    I grimace every time I see this tweet because who wants to suddenly be confronted with a video of themself? No thanks! On the other hand I DO want to share that my talk on human-centered intelligible ML is now up “on-demand” so I’m just going to close my eyes and hit retweet.

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  13. proslijedio/la je Tweet
    24. sij

    PAI is hiring a Director of Research to join our global, multi-stakeholder, multidisciplinary research organization. We're looking for a leader interested in doing compelling, cutting-edge, practical work on responsible AI:

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  14. 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!

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  15. 23. sij

    I’m lucky to have the kind of job where I can walk around with a registration page open on my laptop for four hours, but this is kind of ridiculous. What a debacle.

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  16. 22. sij

    Happening today! You can still register and join the live Q&A.

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  17. proslijedio/la je Tweet
    18. sij

    While the paper deadline passed, you can still contribute! Tutorial proposals are due **Feb 1st** including course/hands-on tutorials 👩‍💻👨‍💻 translations of concepts between disciplines 🕵️‍♀️🕵️‍♂️case studies on real-world application👩‍🔬👩‍⚕️of work

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  18. 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.

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  19. 17. sij

    I've spent weeks reading FATE postdoc and intern apps, and all I can think is 1) I'm so optimistic about the future of this research area given all the amazing, passionate, interdisciplinary young researchers doing great work, and 2) seriously, people, make a research website!

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    Making the machine learning life cycle understandable for stakeholders is key for Responsible AI. Learn how to empirically test whether intelligibility methods let users achieve their goals in this new webinar with :

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  21. 9. sij

    Speaking of intelligibility and the intersection between machine learning and HCI... I recorded a “webinar” (one hour talk followed by a live Q&A session) on these topics that will be released on January 22! Sign up and watch!

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