AIxDESIGN Bookmark Library

Hear from expert Stanford faculty as you explore human-centered generative AI, and ethical and societal implications of generative AI.

A series of intertwined feedback loops that unfold from several interrelated briefs, which are designed to facilitate intellectual and practical exploration.

Algorithmic Sabotage Research Group (ASRG)

Eenzaamheid, geweld en smeltende ijskappen. Dutch Design Week vliegt dit jaar rechtstreeks af op de uitdagingen van de tijd. En verbeeldt ook alternatieve werkelijkheden, onder het (enigzins abstracte) thema: REAL UNREAL. Uit het brede aanbod helpen wij je alvast op weg met tien niet te missen VPRO-tips.

Noorderlicht nodigt beeldmakers, fotografen en kunstenaars die werken met lens-based media uit voor de Noorderlicht Biënnale 2025: Machine Entanglements .

Get tickets on Humanitix - Eryk Salvaggio: Gaussian Pop hosted by RMIT University . Find event information.

87 likes, 3 comments - centrefordigitalculture on October 18, 2024: "How can screenshots trouble our understanding of AI? To explore this we’re launching a call for screenshots. Further details can be found at: https://troubling-ai.glitch.me/ @joanna.zylinska @tom.shane @jwyg Axel Meunier #ai #genai #chatgpt #midjourney #troublingai #aifail #fail #trouble #screenshot #screenshotting #cfp #mediastudies #internetstudies #artificialintelligence".

The AI Art Magazine brings the vibrant world of AI art into print, showcasing the evolution of art in the digital age. Together, we're crafting a shared narrative, celebrating every digital stroke and algorithmic pattern.

moreartnyc on January 25, 2024: "➕Whose AI? by Carrie Sijia Wang➕ Join us this Saturday, January 27th from 4-8pm at Head Hi (@headhi_ny) for Rituals of Social Transformation, a showcase of work & conversations from our 2023 Fellows, including a presentation of Whose AI? by Carrie Sijia Wang (@carrie_re7l). Learn more about this project below and RSVP at the link in our bio 🔗 ——— Whose AI? is a socially engaged art project intended to empower young people from underserved communities to (re)imagine the future of Conversational AI, and engage meaningfully in critical dialogues concerning the risks involved in the development and utilization of AI language models. Can we create AI chatbots that prioritize community over profit; value imagination over efficiency; represent unique voices instead of flattening them? The project explores these questions through a series of hands-on, process-driven workshops. Participants will co-construct knowledge about ethical AI by coming together to collectively build AI chatbots in an explorative, transparent, and decentralized way. ——— Image: Carrie Sijia Wang, What if? A Workshop to Reimagine the Future of AI Chatbots, 2023. Image descriptions in alt text.".

11 likes, 0 comments - impakt.nl on October 16, 2024: "💥 OPEN CALL: ⁠CALLING ALL CREATORS 💥⁠ ⁠ This is your chance to shine by creating a short film, music video, or any short audio-visual clip using cutting-edge Artificial Intelligence tools! Whether you’re just starting out or already an experienced creator, we invite you to transform your ideas into a captivating video and compete with fellow makers in our exciting talent show!⁠ ⁠ To sign up, follow the link in our bio! ⁠ Deadline: 23 October⁠ ⁠ We want you to explore themes such as art and political agendas, political subcultures, radicalization, prejudices, and cultural appropriation. In the true spirit of DEAL WITH IT remember: there are no right, wrong, good, or bad submissions. Embrace the freedom to experiment, have fun, and tap into the incredible potential of AI to express your unique perspective.⁠ ⁠ To help you get started and harness AI as a creative tool, we are offering:⁠ ⁠ - Free Open Online Workshop (24 October): Join our special online workshop on 24 October, led by artist Abner Preis and team. Learn how to use AI as a powerful tool for creativity, discovering infinite new ways of artistic expression.⁠ - On-Site Workshop: We will also host an in-person workshop where participants will receive hands-on guidance on using AI tools for creative projects.⁠ ⁠ Submission Deadline: Final submissions must be received by 29 October to be included in the talent show.⁠".

Podcast · Paris Marx · Silicon Valley wants to shape our future, but why should we let it? Every Thursday, Paris Marx is joined by a new guest to critically examine the tech industry, its big promises, and the people behind them. Tech Won’t Save Us challenges the notion that tech alone can drive our world forward by showing that separating tech from politics has consequences for us all, especially the most vulnerable. It’s not your usual tech podcast.

Arvind Narayanan and Sayash Kapoor are the authors of AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference.

an ever-changing generated on the spot

Podcast · Dreaming Beyond AI · Dreaming Beyond AI is a platform for critical and constructive knowledge, visionary fiction, speculative art, and community organizing around Artificial Intelligence. In this podcast series, we're all about opening up new dimensions of interaction and challenging the current perceptions and narratives around AI. We want to reclaim technology as a space for marginalized bodies and build an archive of alternative realities.

Dreaming Beyond AI invites you to apply to its 2025 artist-activist residency that aims to explore coalition building in times of AI. We are looking for four artist-activists in residence who will work individually and together to interrogate this topic in a creative way from April to June 2025.

Eventbrite - Science Gallery London presents Art x AI: Collective Intelligence, Collective Governance - Thursday, October 24, 2024 at Science Gallery London, London, England. Find event and ticket information.

This project traces how media systems are using, interpreting, and anticipating Generative AI to create public life. We’re studying how the news industry frames Generative AI, when and why journalists are using it in their work, which policies and guidelines organizations are creating to regulate its use, and how people and infrastructures have the power to make Generative AI a public problem.

The work of the people who make datasets is crucial. They build the architectures of ground truth that shape AI systems. Yet there has been very little research that has focused on dataset creators or listened to what they have to say. In this project, we speak with 18 different dataset creators in a series of interviews that reveal the messy and contingent realities of dataset preparation. We hear about their practices and the shared challenges they face. We offer a set of actionable recommendations that would improve the practice of dataset creation while also building a more responsible AI ecosystem.

What can birding teach us about machine learning? And how is AI shaping how we interact with nature? Projects at the intersection of nature observation, citizen science, and machine learning offer useful case studies for examining systems of dataset production, model training and human feedback. They also present an alternative model to the extractive and exploitative “Big Data” approach to training machine learning algorithms, offering many possibilities as well as unique challenges for thinking through how we relate to AI systems.

Generative AI raises a host of legal questions and concerns. Some of these questions will challenge existing legal rules and require new laws and policy frameworks. Others have answers that are quite well settled, notwithstanding the new AI context bringing attention to them.

Knowing Machines is a research project tracing the histories, practices, and politics of how machine learning systems are trained to interpret the world.

Calculating Empires has won the European Commission's 2024 Grand Prize for Artistic Exploration in Science, Technology, and the Arts. The jury noted that 'Calculating Empires challenges us to redefine our relationship with current socio-technical structures. By asking how we got where we are today, we can reconsider where we might be going.' Previous winners include Richard Mosse, Holly Herndon and Matt Dryhurst.

A new way to generate images on Replicate, the playground encourages rapid-fire experimentation, fast-feedback loops, and easy comparison of models.

Knowing Machines is a research project tracing the histories, practices, and politics of how machine learning systems are trained to interpret the world.

Uninvited Responses to a Questionnaire

Start by recognizing that every technical system represents a set of choices.

Artificial intelligence is the hottest technology of our time. But what is it? It sounds like a stupid question, but it’s one that’s never been more urgent. MIT Technology Review takes a deep dive into the competing answers from titans of industry and helps us understand how we got here—and why you should care, no matter who you are.

Throughout November, we’re inviting all curious CATs to join the 🐱 CAT Generative AI Exploratorium ✨ – a collaborative journey in which you will be able to question, learn, practice, and reflect on the intersection of climate action in tech and generative AI.