fffiloni (Sylvain Filoni)

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"The principle of explainability of ai and its application in organizations"
Louis Vuarin, Véronique Steyer
—› 📔 https://doi.org/10.3917/res.240.0179

ABSTRACT: The explainability of Artificial Intelligence (AI) is cited in the literature as a pillar of AI ethics, yet few studies explore its organizational reality. This study proposes to remedy this shortcoming, based on interviews with actors in charge of designing and implementing AI in 17 organizations. Our results highlight: the massive substitution of explainability by the emphasis on performance indicators; the substitution of the requirement of understanding by a requirement of accountability; and the ambiguous place of industry experts within design processes, where they are employed to validate the apparent coherence of ‘black-box’ algorithms rather than to open and understand them. In organizational practice, explainability thus appears sufficiently undefined to reconcile contradictory injunctions. Comparing prescriptions in the literature and practices in the field, we discuss the risk of crystallizing these organizational issues via the standardization of management tools used as part of (or instead of) AI explainability.

Vuarin, Louis, et Véronique Steyer. « Le principe d’explicabilité de l’IA et son application dans les organisations », Réseaux, vol. 240, no. 4, 2023, pp. 179-210.

#ArtificialIntelligence #AIEthics #Explainability #Accountability

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I'm happy to announce that ✨ Image to Music v2 ✨ is ready for you to try and i hope you'll like it too ! 😌

This new version has been crafted with transparency in mind,
so you can understand the process of translating an image to a musical equivalent.

How does it works under the hood ? 🤔

First, we get a very literal caption from microsoft/kosmos-2-patch14-224; this caption is then given to a LLM Agent (currently HuggingFaceH4/zephyr-7b-beta )which task is to translate the image caption to a musical and inspirational prompt for the next step.

Once we got a nice musical text from the LLM, we can send it to the text-to-music model of your choice:
MAGNet, MusicGen, AudioLDM-2, Riffusion or Mustango

Instead of the previous version of Image to Music which used Mubert API, and could output curious and obscure combinations, we only provide open sourced models available on the hub, called via the gradio API.

Also i guess the music result should be more accurate to the atmosphere of the image input, thanks to the LLM Agent step.

Pro tip, you can adjust the inspirational prompt to match your expectations, according to the chosen model and specific behavior of each one 👌

Try it, explore different models and tell me which one is your favorite 🤗
—› fffiloni/image-to-music-v2

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