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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.

Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy. We publish opinion and analysis.

In this episode we speak to Gabriele De Seta on the imagination of AI and how users attempt to make sense of the ways that algorithms are developed. Gabriele...

Use the power of AI for quick summarization and note taking, NotebookLM is your powerful virtual research assistant rooted in information you can trust.

Foresight and insight to the adoption, use and impact of CoSTAR technologies

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Can you still believe your own eyes? Artificial intelligence (AI) and algorithms are (un)consciously becoming more and more part of our daily lives. The relationship between man and machine is changing, and in the creative industry, it raises questions about the reliability of images. For example, how does AI impact the creative industry? Noorderlicht is exploring that question this autumn with a powerful group exhibition. Pixel Perceptions focuses on AI and the reliability of images. We look at what impact all those algorithms have on our daily lives and the consequences for creators and the creative industry.

Bij Waag Futurelab zijn wij op zoek naar een conceptontwikkelaar/researcher voor de afdeling code (32-40 uren/week)

Meaningmaking is a simple concept but one that is counterintuitively powerful in understanding how we think about work and technology in a world

There’s something missing in the heart of the conversation about AI.

Worldviews are clashing when it comes to artificial intelligence.

For over a century, we’ve told robot stories — like R.U.R. and Do Androids Dream of Electric Sheep? — to ask what it means to be human.

Think of the computer, not as a tool, but as a medium. —Brenda Laurel, Computers as Theatre If you are reading this, this i...

There is no organization. There is no manifesto. In order to optimize your content for the algorithm, or “algorithmax,” the c...