Kevin Robinson

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Kevin Robinson

Kevin Robinson

@krob

💻❤️ #CSforALL i work at Google Research

Massachusetts 参加日 Ocak 2013
3.5K フォロー中1.6K フォロワー
Kevin Robinson がリツイート
wells (lysi ave)
wells (lysi ave)@WellsLucasSanto·
Let's goooo!!! The second of two papers on AI education is coming up in a bit. As an AI educator focused on inclusion and co-generative pedagogy, I'm *really* excited for this talk on exclusionary pedagogy. Will tweet some take-aways in this thread:
ACM FAccT@FAccTConference

Stream 2 ⬇️⬇️⬇️ 1)Avoiding Disparity Amplification under Different Worldviews by Samuel Yeom & Michael Carl Tschantz 2)“You Can’t Sit With Us”: Exclusionary Pedagogy in AI Ethics Education by Inioluwa Deborah Raji, Morgan Klaus Scheuerman, & Razvan Amironesei #facct21 #facct2021

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Kevin Robinson
Kevin Robinson@krob·
This is absolutely brilliant work! ❤️ imho it's up there with some of the best work on CS education👇 Epistemological Pluralism @STurkle & Papert 1990 Stuck in The Shallow End @joannagoode13 & pals 2010 You Can't Sit With Us @rajiinio @morganklauss @amironesei 2021 💻❤️😎
Deb Raji@rajiinio

🗣️Finally, it's out! It's here! In this paper, me, @morganklauss & @amironesei present work on a topic people remain hesitant to discuss - the **power dynamic between disciplines** & how that shapes poor AI ethics education and practice. Check it out: dl.acm.org/doi/10.1145/34…

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Kevin Robinson がリツイート
Fernando Diaz
Fernando Diaz@841io·
so, while the technical work of algorithmic transparency is important, it should be part of a broader perspective on how these systems are engineered, produced, and used. having a nice technical model of a dog's vision system won't alone tell me if it will bite me. (6/7)
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Kevin Robinson がリツイート
jutta treviranus
jutta treviranus@juttatrevira·
I need a name for that threshold when research findings about a category of people does more harm than good, when evidence becomes stereotype that hurts the exceptions. Favored research methods elide human diversity & complexity. #research #inclusion #DataScience
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Kevin Robinson がリツイート
madeleine clare elish
madeleine clare elish@m_c_elish·
What are the responsibilities of researching AI in the Global South? Many common to all fieldwork: How can research be productive not extractive? Awesome #FAccT2021 tutorial "AI on the Ground" with incredible scholars @VidushiMarda @so_radhikal @tetisheri + Ranjit Singh!
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Kevin Robinson がリツイート
Dr. Casey Fiesler is no longer on here
Dr. Casey Fiesler is no longer on here@cfiesler·
I'm busy running this thing, but looks like we have some useful live-tweeting of our tutorial on teaching ethics in the tech classroom! 😍 #FAccT2021
wells (lysi ave)@WellsLucasSanto

Moments away from an *incredibly* important panel on ethical thinking in the tech classroom, with @cfiesler, @s010n, @achaintreau, @_jessiejsmith_, and @michaelzimmer here at #FAccT21. Looking forward to the learnings and provocations.

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Kevin Robinson がリツイート
Rachel Thomas
Rachel Thomas@math_rachel·
Fairness research in ML remains largely rooted in Western concerns: the injustices, datasets, measurement scales, & legal tenets used. These infrastructures, values, & legal systems cannot be naively generalized to non-Western countries -- @autopoietic arxiv.org/abs/2012.03659
Rachel Thomas tweet media
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Kevin Robinson がリツイート
Deb Raji
Deb Raji@rajiinio·
We need to upgrade our dataset culture in ML. If we ever hope to make our models work, data needs to be more than an afterthought - its the engine driving the field & we need to treat it as such! Inspired by @timnitGebru & others who continue asking questions on ML's data use.
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Kevin Robinson がリツイート
Remi Denton
Remi Denton@cephaloponderer·
Continually grateful to @mmitchell_ai and @timnitGebru for creating a team that supported and fostered this kind of work. Also huge credit to them both for their seminal research in this area, which has paved the way for this work.
Jesse Dodge@JesseDodge

When I read this paper I thought to myself, yes, this is correct, how have we not already been talking about data like this? This is just one example of the excellent, impactful work that's come out of the Ethical AI team that was co-led by @mmitchell_ai and @timnitGebru

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Hilde Weerts
Hilde Weerts@hildeweerts·
By now I've written the statement "this depends on the context" so many times that I should probably print it on a t-shirt for when our course starts next February 😂
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ディスカバー

@rajiinio @hannawallach @STurkle @joannagoode13 @morganklauss @amironesei @FAccTConference @DiverseInAI