Étiquette : artificial intelligence (Page 12 of 24)

Une IA digne de confiance devrait respecter toutes les législations et réglementations applicables ainsi qu’une série d’exigences; des listes d’évaluation spécifiques visent à faciliter la vérification du respect de chacune de ces exigences:

  • Facteur humain et contrôle humain: les systèmes d’IA devraient être les vecteurs de sociétés équitables en se mettant au service de l’humain et des droits fondamentaux, sans restreindre ou dévoyer l’autonomie humaine.
  • Robustesse et sécurité: une IA digne de confiance nécessite des algorithmes suffisamment sûrs, fiables et robustes pour gérer les erreurs ou les incohérences dans toutes les phases du cycle de vie des systèmes d’IA.
  • Respect de la vie privée et gouvernance des données: il faut que les citoyens aient la maîtrise totale de leurs données personnelles et que les données les concernant ne soient pas utilisées contre eux à des fins préjudiciables ou discriminatoires.
  • Transparence: la traçabilité des systèmes d’IA doit être assurée.
  • Diversité, non-discrimination et équité: les systèmes d’IA devraient prendre en compte tout l’éventail des capacités, aptitudes et besoins humains, et leur accessibilité devrait être garantie.
  • Bien-être sociétal et environnemental: les systèmes d’IA devraient être utilisés pour soutenir des évolutions sociales positives et renforcer la durabilité et la responsabilité écologique.
  • Responsabilisation: il convient de mettre en place des mécanismes pour garantir la responsabilité à l’égard des systèmes d’IA et de leurs résultats, et de les soumettre à une obligation de rendre des comptes.

Source : Commission Européenne – COMMUNIQUES DE PRESSE – Communiqué de presse – Intelligence artificielle: la Commission franchit une étape dans ses travaux sur les lignes directrices en matière d’éthique

“After training our agents for an additional week, we played against MaNa, one of the world’s strongest StarCraft II players, and among the 10 strongest Protoss players. AlphaStar again won by 5 games to 0, demonstrating strong micro and macro-strategic skills. “I was impressed to see AlphaStar pull off advanced moves and different strategies across almost every game, using a very human style of gameplay I wouldn’t have expected,” he said. “I’ve realised how much my gameplay relies on forcing mistakes and being able to exploit human reactions, so this has put the game in a whole new light for me. We’re all excited to see what comes next.”

Source : AlphaStar: Mastering the Real-Time Strategy Game StarCraft II | DeepMind


WTF !!!

“From the moment your LOVOTs arrive, your life will always be filled with a little love.”

Source : LOVOT

“Smart Compose is an example of what AI developers call natural language generation (NLG), in which computers learn to write sentences by studying patterns and relationships between words in literature, emails and web pages. A system shown billions of human sentences becomes adept at completing common phrases but is limited by generalities. Men have long dominated fields such as finance and science, for example, so the technology would conclude from the data that an investor or engineer is “he” or “him.” The issue trips up nearly every major tech company. ”

Source : Fearful of bias, Google blocks gender-based pronouns from new AI tool | Reuters

Obvious Art

“The members of Obvious don’t deny that they borrowed substantially from Barrat’s code, but until recently, they didn’t publicize that fact either. This has created unease for some members of the AI art community, which is open and collaborative and taking its first steps into mainstream attention. Seeing an AI portrait on sale at Christie’s is a milestone that elevates the entire community, but has this event been hijacked by outsiders?”

Source : How three French students used borrowed code to put the first AI portrait in Christie’s – The Verge

Google LYNA

“In both datasets, LYNA was able to correctly distinguish a slide with metastatic cancer from a slide without cancer 99% of the time. Further, LYNA was able to accurately pinpoint the location of both cancers and other suspicious regions within each slide, some of which were too small to be consistently detected by pathologists. As such, we reasoned that one potential benefit of LYNA could be to highlight these areas of concern for pathologists to review and determine the final diagnosis.”

Source : Google AI Blog: Applying Deep Learning to Metastatic Breast Cancer Detection

Microsoft - Zo

“California governor Jerry Brown signed regulations into law last Friday (Sept. 30) that should make it easier for Californians to know whether they’re speaking to a human or a bot. The new law goes into effect on July 1, 2019—Botageddon, as we’re going to call it—and could have far-reaching consequences for how automated systems communicate with people online. It will require companies to disclose whether they are using a bot to communicate with the public on the internet (something like “Hi, I’m a bot.”)”

Source : A new law means California’s bots have to disclose they’re not human — Quartz

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