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The top 5 readings that are helping me dream up radical AI right now (a thread) 1/5 A People's Guide to AI by
@thistimeitsmimi+@mothercyborg a guide to AI for anyone, that's "as focussed on equity as it is on tech". It's just so good.http://store.alliedmedia.org/products/digital-download-a-peoples-guide-to-ai …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Believing that only computation can perceive, process, &understand the physical world, implies that “
#datascience can know people better than they can know themselves". We ascribe it a "logic of revelation" instead of mere “approximation” https://www.publicbooks.org/facial-recognition-is-only-the-beginning/ … ht@FrankPasqualeHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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The battle for ethical
#AI at#NeurIPS
#Bias & the prospect of societal harm increasingly plague#ArtificialIntelligence research Link: https://www.nature.com/articles/d41586-020-00160-y …@LizzieGibney@celestekidd@mer__edith@Abebab@riakall@NatureNews@AINowInstitute#MedTwitterAI#AIEthics#ethicspic.twitter.com/7zVtjOuBeN
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Please stop describing AI safety as "long term, technical" safety. Ethics, fairness and AI for Social Good problems are also very much playing the long game & in many cases involve confronting highly technical fundamental ML challenges, requiring theoretical innovation to solve.
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Friends, a website!
@laurenfklein and I hereby announce the new website for our forthcoming book, Data Feminism. And most notable about the website is the PRE-ORDER link: http://datafeminism.io/ cc:@mitpressHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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The Feminist Data Manifest-No: https://manifestno.com 

Read the short version, read the long version, read & share them both!
By: @thebigfiveone@marika_louise@niloufar_s@jr6g@AgingSuperModel@wrongrrl@toniasutherland@annaeveryday@Raultishness@lnakamurPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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[Thread:] How can the field of computing contribute to social change, without tacitly assuming that tomorrow's social structures will basically resemble the past?
https://arxiv.org/abs/1912.04883 Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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"Is this ML model doing good?" is the wrong question to be asking. We need to ask: "how is this ML model shifting power?"
@riakall#NeurIPS2019pic.twitter.com/LWEciMqgKs
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More takeaways from this amazing work on algorithmic injustices by
@Abebab 1) Centre society's most vulnerable rather than the technology. 2) Automated decision-making systems create and sustain a certain social order. 3) Prioritise understanding rather than predictions.https://twitter.com/math_rachel/status/1204104481144819713 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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It is increasingly difficult to find an aspect of lived experience that is not datafied, measured, quantified, and analyzed.
@Abebab@black_in_ai#NeurIPS2019pic.twitter.com/oYRj3hmyDW
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As a field, we are overly focused on prediction. We need to prioritize understanding over prediction. It's not about the "right answers" but asking meaningful questions
@Abebab@black_in_ai#NeurIPS2019pic.twitter.com/i6x0AEiRZU
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Super excited to be in conversation
@mer__edith at the#NeurIPS2019 workshop#MindingTheGap about#power and#techworker#activism in the context of#fairness#safety and#ethics — looking forward to de-smokescreening the discourse!https://twitter.com/mer__edith/status/1203750022182928384 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Would love to hear what else/who else I should definitely be listening to!
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5/5 Counting the Countless post by
@farbandish a clear & cutting critique of data science as fundamentally reductive & coercive. ends with a brief nod to the wish for "a radical data science" that values context, autonomous control & many ways of being http://ironholds.org/counting-writeup/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
4/5 The Moral Character of Cryptographic Work by Phillip Rogaway not about AI. discusses researchers’ relationship to power, how centralized data & cryptography research rearrange power, and which cryptography research may do so in a just way http://web.cs.ucdavis.edu/~rogaway/papers/moral-fn.pdf …
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3/5 Design Justice, A.I., and Escape from the Matrix of Domination by
@schock a concrete story of values encoded in AI, which segues into an intro to the matrix of domination, and a case for for AI that makes space for many ways of beinghttp://jods.mitpress.mit.edu/pub/costanza-chock …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
2/5 Data Feminism, ch 1 by
@kanarinka+@laurenfklein Intro principles of feminist data science including "the view from nowhere [feigned objectivity] is always a view from somewhere [often power]" that should be stated. Again: table near the end is gold! http://bookbook.pubpub.org/pub/zrlj0jqb pic.twitter.com/BgGqmlQAQT
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Children use the mutual exclusivity (ME) bias to learn new words, while standard neural nets show the opposite bias, hindering learning in common scenarios. New preprint from
@gandhikanishk introduces ME as a challenge for neural networks https://arxiv.org/abs/1906.10197 pic.twitter.com/ocxk0lYo6S
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Exited to share our new paper: 'Monte Carlo Gradient Estimation in Machine Learning', with @elaClaudia
@mfigurnov@AndriyMnih. It reviews of all the things we know about computing gradients of probabilistic functions. https://arxiv.org/abs/1906.10652
Thread
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Style transfer without a specific style image. I minimize only the content loss from neural style transfer and directly optimize brushstrokes via backpropagation. In this case, "style" is an intrinsic property defined entirely by the artistic medium.pic.twitter.com/az6s2pIe1v
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