“Les baby-boomers sont-ils plus sages que les millennials? Les millenials sont-ils tous des enfants gâtés? Ces étiquettes qui collent aux générations sont souvent fausses. Mais nous sommes toujours pris dans l’air du temps, comme le rappelle la définition sociologique du terme «génération»: groupe d’âge façonné par des événements et des influences historiques et sociaux communs.”
Source : Voici ce que vos goûts musicaux disent de vous | 24 heures
“Researchers measure emotion with facial recognition that captures feelings like joy and sadness. Pair that with eyeball trackers and you can tell exactly what test subjects like or dislike. Some researchers use heart-rate monitors, skin-sweat sensors and even brain-wave detectors to measure reactions. Airlines use biometric research to plan menus and pick cabin colors. Amtrak has been using it to design new railcars. Online travel agencies like Expedia test every aspect of desktop and phone screens, looking for pain points during shopping that may frustrate buyers, as well as for colors, layouts and elements like photos that lead to increased booking.”
“On a tous les deux grandi en lisant beaucoup de science-fiction, donc l’idée que la technologie est là pour nous aider plutôt que pour nous faire du mal fait partie de nos histoires à chacun. Mais on admettait que si les gens qui designent ces applis entendent faire de leur mieux, par contre, ils ne connaissent pas grand chose du comportement humain. Ce qui n’est de la faute de personne : si vous voulez apprendre à faire des logiciels, vous devenez ingénieur, si vous voulez apprendre sur le comportement humain, vous faites des sciences comportementales. On s’est donc demandé ce qu’on pouvait faire pour que ces applis soient plus persuasives, et pour y injecter nos connaissances. Que se passe-t-il dans nos têtes ? Pourquoi certaines addictions se forment et d’autres non ? On voyait que les gens voulaient utiliser ces applis, grandir, changer, être une meilleure version d’eux-mêmes, on voulait permettre ce succès, et notre petite contribution était de rendre ces applis plus puissantes.”
Source : « Le recours aux techonologies de la persuasion ne va faire qu’augmenter »
“A Facebook spokesman said: “We don’t believe that it’s an appropriate role for us to referee political debates. Nor do we think it would be appropriate to prevent a politician’s speech from reaching its audience and being subject to public debate and scrutiny.”
Facebook’s decision comes as the rival service TikTok takes the opposite stance. In a blogpost, the social network, whose reported 500 million users would make it the largest in the world not owned by Facebook, made clear it would not be hosting any political adverts.”
Source : Facebook exempts political ads from ban on making false claims | Technology | The Guardian
“Data dredging (also data fishing, data snooping, data butchery, and p-hacking) is the misuse of data analysis to find patterns in data that can be presented as statistically significant when in fact there is no real underlying effect. This is done by performing many statistical tests on the data and only paying attention to those that come back with significant results, instead of stating a single hypothesis about an underlying effect before the analysis and then conducting a single test for it.”
Source : Data dredging – Wikipedia
“You can look at France’s use of facial recognition for digital identity in two ways: it goes too far in terms of privacy, or they’re using the most secure new technology. Are they a front-runner or are they overstepping the mark?”
Source : French Liberte Tested by Nationwide Facial Recognition ID Plan – Bloomberg
GitHub is really good at visualizing burnout. pic.twitter.com/OdncS2UK66
— Jonnie Hallman (@destroytoday) October 6, 2019
“For context, I spent 5 years working day & night on my own app before burning out really hard. Then, I joined @stripe , who has been unbelievable supportive in helping me recover. ”
“AI Now co-founders Kate Crawford and Meredith Whittaker opened the Symposium with a short talk summarizing some key moments of opposition over the year, focusing on five themes: (1) facial and affect recognition; (2) the movement from “AI bias” to justice; (3) cities, surveillance, borders; (4) labor, worker organizing, and AI, and; (5) AI’s climate impact. Below is an excerpt from their talk.”
Source : AI in 2019: A Year in Review – AI Now Institute – Medium
“From finding a spouse to finding a parking spot, from organizing one’s inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.”
« Computational science in 2019 », via Nicolas Nova !!!
Source : Brian Christian and Tom Griffiths
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