Kevin Robinson @krob
💻❤️ #CSforALL i work at Google Research github.com/kevinrobinson Massachusetts Joined January 2013-
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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:
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
@rajiinio @hannawallach @STurkle @joannagoode13 @morganklauss @amironesei hi deb! yeah I figured it must have really resonated with you all :) thanks so much for sharing your incredible work!
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 💻❤️😎
🗣️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…
@hannawallach @STurkle @joannagoode13 @rajiinio @morganklauss @amironesei hi hanna!! yeah i had a similar experience too :) whenever you re-read i'd love to hear about what you think about it now!
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)
@MrHargroder @STurkle @joannagoode13 @rajiinio @morganklauss @amironesei hi alex!!! :) and omg this is completely your kind of paper!
My @FAccTConference @DiverseInAI talk Fairness Metrics & Non-Discrimination Law: Can Fairness be Legally Automated? is online ft my paper Bias Preservation tinyurl.com/5fefced4 & Why Fairness Cannot Be Automated tinyurl.com/jytrxfmc @oiioxford @turinginst @CompSciOxford
A year or so ago while working on #datacards, I told @ZaldivarPhD "transparent documentation seems like an opaque deal. We need to make it more human." Today, we are stoked to open-source 1/2 of the #datacardsplaybook & present it at #facct2021 #facct21 Pair-code.github.io/datacardsplayb…
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
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!
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
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.
Excited to speak today @FAccTConference 12:00-12:45 UTC on Fairness Metrics & Non-Discrimination Law: Can Fairness be Legally Automated? 2021.facctconference.org/agenda talk will also be recorded @oiioxford @CompSciOxford @BKCHarvard @turinginst @oxsocsci @Ox_CyberSec @OxfordLawFac
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
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.
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.
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.
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
Submit a workshop to FAccT!
In related news, the call for CRAFT workshops at @FAccTConference 2021 is live! We're looking for workshops that creatively engage with and address critiques of the FAccT field. Please share far and wide. facctconference.org/2021/cfw.html
@hildeweerts watch out them portability traps are everywhere
In related news, the call for CRAFT workshops at @FAccTConference 2021 is live! We're looking for workshops that creatively engage with and address critiques of the FAccT field. Please share far and wide. facctconference.org/2021/cfw.html
Matt Massicotte @mattie
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