Les #algorithmes, un danger pour la #santé des Américains noirs
Même les #logiciels de prise de décision utilisés par les hôpitaux aux États-Unis sont racistes. Peut-on corriger ces #préjugés, se demande la revue scientifique Nature.
▻https://www.courrierinternational.com/article/technologies-les-algorithmes-un-danger-pour-la-sante-des-amer
#santé #racisme #Noirs #Afro-américains #USA #Etats-Unis
Millions of black people affected by racial #bias in health-care algorithms
Study reveals rampant racism in decision-making software used by US hospitals — and highlights ways to correct it.
Ghani says that his team has carried out unpublished analyses comparing algorithms used in public health, criminal justice and education to human decision making. They found that the machine-learning systems were biased — but less so than the people.
“We are still using these algorithms called humans that are really biased,” says Ghani. “We’ve tested them and known that they’re horrible, but we still use them to make really important decisions every day.”
Et les chicanos, les indiens, les prisonniers ?
Ils n’ont pas de problèmes ?
Aujourd’hui, vers 1320 UTC, au bloc 1920000, la #chaine_de_blocs #Ethereum a subi un « hard fork » (une fourchette dure ?) :
I0720 15:21:42.133591 core/blockchain.go:963] imported 1 block(s) (0 queued 0 ignored) including 4 txs in 50.59182ms. #1920000 [94365e3a / 94365e3a]Il s’agissait de changer les règles pour récupérer l’argent de #The_DAO volé suite à une bogue dans le contrat (cf. ►https://seenthis.net/messages/500970 ) Pas de trucs techniques particuliers à signaler. La nouvelle chaîne (celle où les « actionnaires » de The DAO sont remboursés) est de loin la plus rapide, celle des opposants au hard fork traine derrière.
Le résumé de l’opération par la Fondation Ethereum : ▻https://blog.ethereum.org/2016/07/20/hard-fork-completed
Un article de synthèse en français (derrière un paywall) : ▻http://www.nextinpact.com/news/100716-ethereum-un-hard-fork-controverse-pour-oublier-the-dao.htm
L’adresse où se trouvent désormais les fonds de The DAO (les retraits ont déjà commencé, rechargez la page, vous verrez le solde baisser vite) ▻https://etherscan.io/address/0xbf4ed7b27f1d666546e30d74d50d173d20bca754
Les arguments des opposants au hard fork (le groupe « Ethereum Classic ») : ▻https://bitcoinmagazine.com/articles/rejecting-today-s-hard-fork-the-ethereum-classic-project-continues-
même idée en mode pas troll :
▻http://www.forbes.com/sites/francescoppola/2016/07/21/a-painful-lesson-for-the-ethereum-community
@Fil Mais une grosse erreur dès le début de l’article (le « hard fork » ne fait pas revenir en arrière dans le temps, bordel, 95 % des médias font l’erreur).
Lutter contre la haine sur internet
▻http://affordance.typepad.com//mon_weblog/2015/02/lutter-contre-la-haine-sur-internet.html
Ceci étant posé, oui, il y a bien un discours de haine présent sur internet. Comme d’ailleurs dans le PMU du coin. C’est vouloir les traiter de la même manière, c’est leur accorder la même importance qui serait une erreur. Car ces discours de haine sur internet obéissent à des logiques propres qui tournent autour de 4 effets contre-intuitifs [...].
#Code_is_law #Discours_de_haine #Internet #Liberté_d'expression #Olivier_Ertzscheid #Réseau_social_(internet) #Slacktivisme #Web
Il faudrait commencer par faire respecter la loi par tous et pas que par les gamins racisés.
►http://seenthis.net/messages/345867
Girls Who Code
▻http://girlswhocode.com
Launched in Spring 2012, Girls Who Code is a national nonprofit organization working to close the gender gap in the technology and engineering sectors.
« The Future of Programming » - Bret Victor
▻http://worrydream.com/dbx
excellente conférence sur la #programmation, retro-style
“Why did all these ideas happen during this particular time period?”
There may be a number of reasons.
The story I told in the talk — “they didn’t know what they were doing, so they tried everything” — was essentially that programming at the time was in the “pre-paradigm phase”, as defined by Thomas Kuhn in The Structure of Scientific Revolutions. (...)
But there’s another story, which has to do with funding models. Much fundamental research at the time, including Engelbart’s NLS and the Internet, was funded by #ARPA, an agency of the US Defense Department which had been given significant resources due to the cold war.
ARPA ushered in an era of abundant funding for university projects, offering far more in terms of funding than any other research funds at the time. Where institutions such as the National Science Foundation and the Three Services Program provided funding to research programs at the level of tens of thousands of dollars, ARPA was willing to throw millions into the creation and support of promising research efforts.
Part of what made ARPA funding so successful was that its directors (such as J.C.R. Licklider and Bob Taylor) were free to aggressively seek out and fund promising individuals with “no strings attached”.
Avec le même titre, mais une approche différente, un autre article très intéressant sorti le même jour :
The future of programming - O’Reilly Radar
▻http://radar.oreilly.com/2013/01/the-future-of-programming.html
it’s worth examining the house of cards we’re building with our current approach to software development. The problem is simple: the brain can only fit so much inside it. To be a programmer today, you need to be able to execute the program you’re writing inside your head.
When the problem space gets too big, our reaction is to write a framework that makes the problem space smaller again. And so we have operating systems that run on top of CPUs. Libraries and user interfaces that run on top of operating systems. Application frameworks that run on top of those libraries. Web browsers that run on top of those. JavaScript that runs on top of browsers. JavaScript libraries that run on top of JavaScript. And we know it won’t stop there.
We’re like ambitious waiters stacking one teacup on top of the other. Right now, it looks pretty wobbly. We’re making faster and more powerful CPUs, but getting the same kind of subjective application performance that we did a decade ago. Security holes emerge in frameworks that put large numbers of systems at risk.
When Lousy Code Strikes, Google Dispatches Its Elite ’Gopher Team’
▻http://www.wired.com/wiredenterprise/2013/07/gopher
“If code doesn’t receive constant love it turns to shit,”