WeAlgo uses face recognition AI to protect our screen privacy, instead of violating it.

By Brian Merchant In This Article Introduction OpenAI and the Generative AI Boom Silicon Valley Mythology, Distilled and Accelerated From “Safe AI” to AGI — and the Hype-Led Business Model Genesis Marketing AGI, Shipping Commercial AI The Dream of AGI and the Fully Automated Organization Acknowledgments Download the full report here INTRODUCTION In the spring of […]

"I'm trying to find holiday gifts for my sisters. I open a bunch of tabs, I want my wife's advice." That's Browser Company CEO, Josh Miller, in his

How to Fight Big Tech's Hype and Create the Future We Want

I am excited to announce that my project proposal "Participatory Design Justice for Ethical AI Transitions" has been awarded 1.3 M euros by the Italian… | 30 comments on LinkedIn

[Das zweisprachige Interview verfügt über deutsche und englische Untertitel]"Emotion und Künstliche Intelligenz – Der Mythos von Universalität, Transparenz u...

This working paper is dedicated to artistic positions that critically deal with ‘artificial intelli- gence’ and automated pattern recognition through algorithms. Using a series of examples, it shows the social struggles that results from the distortions of bias and how artists react to it. Building on analyses by Harun Farocki and Hito Steyerl, projects by Adam Harvey and Jules LaPlace, Zach Blas and Jemima Wyman, Elisa Giardina Papa, Francis Hunger and Flupke, Erika Scourti, Mimi Onuoha, Nora Al-Badri, and Jan Nikolai Nelles are presented.

This is a recording from our event on February 21st, 2024. Dr. Mél Hogan presents on the Environmental Impacts of Chat GPT and AI Technologies. The video captions were made by a human captioner. Here is a link to the transcript: https://docs.google.com/document/d/1Y2vBwqIhn3ae3DH8AKORue-o-RJWZoMXvyGso_c_d1I/edit?usp=sharing About the speaker: Dr. Mél Hogan is the host of The Data Fix podcast and the Director of the Environmental Media Lab (EML). She is an Associate Professor in the Department of Film and Media at Queen's University. Her research focuses on data centres and infrastructure, understood from within the contexts of settler-colonial extractivism, planetary catastrophe, and collective anxieties about the future. http://melhogan.com. About the event: This event is also part of the 6th Season of Disrupting Disruptions: the Feminist and Accessible Publishing and Communications Technologies Speaker and Workshop Series (https://www.feministandaccessiblepubl...), organized by Dr. Alex Ketchum. Our series was made possible thanks to our sponsors: SSHRC, Digital Citizen Research, the Institute for Gender, Sexuality, and Feminist Studies (IGSF), the DIGS Lab, Milieux, Initiative for Indigenous Futures, ReQEF, and more (see our website!)

[Das zweisprachige Interview verfügt über deutsche und englische Untertitel]"Wie die Bilddatensammlung ImageNet Wirklichkeit (re-)konstruiert". Das Interview...

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Nature - A review of the literature on artificial intelligence systems to examine openness reveals that open AI systems are actually closed, as they are highly dependent on the resources of a few...

A course on aligning smol models. Contribute to huggingface/smol-course development by creating an account on GitHub.

Curated frameworks, tools, and libraries every developer needs to build functional and efficient AI agents

The SAT is a research, creation and training center dedicated to digital culture. A unique place in Montreal, the SAT presents immersive experiences in its d...

Over the past twenty years, social movements from DREAMers and the Movement for Black Lives, to queer and trans resistance, and domestic worker organizing, have helped tell a new story of America—an inclusive vision of our society that has galvanized a new and newly empowered generation. This achievement was no accident: movement leaders have honed communications techniques, political messages, and storytelling strategies in a new struggle for narrative power. Until now, these efforts have largely been piecemeal and disconnected from one another.

This briefing is intended to help people with a responsibility for AI projects understand the considerations around their direct negative environmental impact arising from AI.

For all the promise and dangers of AI, computers plainly can’t think. To think is to resist – something no machine does

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Price: 20€Language: English (un)real data ☁️ – (🧊)real effects explores the inherent ambiguity of data as an opportunity to not only describe the world but strategically intervene in it. Is it possible to create specific real-world outcomes by modifying our data streams? Can we intentionally produce data to interact with an algorithmic environment that is […]

Remarks delivered in response to a question from students in Frank Shephard’s Algorithmic Sublime class at the New School for Social Research, New York City, on November 8, 2024.

“It’s a flat world. The Synthetic Realities of AI Video” by Roland Meyer on June 14, 2024 at Hidden Layers - AI & Design Conference at Köln…