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Published in Nature Human Behaviour, the Professor of International and Cyber Security with co-authors urge a closer examination of how the GenAI discourse shapes research and policies.

spicing up the rational realm with a dose of intuition and wonder.

At Fantastic Futures I was asked for something that gave me hope about the future of generative AI and image collections. Here's what I mentioned. Spawning’s…

You probably have seen many posts about ChatGPT offering search now to premium users. While it's framed as 'search,' it's an entirely different beast… | 15 comments on LinkedIn

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

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.

Uninvited Responses to a Questionnaire

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

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...

Featuring 250 high-quality prompts from over 50 leading AI Artists in photography, design, art, fashion, and architecture.

ChatGPT is quickly becoming our new confessional, mirror, and guide. Offering validation as a service 24/7. Why is it that we are so drawn to this validation box, and what price might we pay?

Nature - Artificial-intelligence models are typically used online, but a host of openly available tools is changing that. Here’s how to get started with local AIs.

The AI Anarchies Book sheds light on the debate surrounding AI and ethics from an artistic and scholarly perspective, exploring new approaches to the topic.

Atlas of Anomalous AI is a compelling and surprising map of our complex relationship to intelligence, from ancient to emerging systems of knowledge.

This book witnesses the birth of a co-creation era, urging a rethinking to craft a more human-centric future where AI magnifies human creativity, rather than replacing it.

Looking for forms of expression hidden between ancient runes and y2k logos, medieval monograms and clip art illustrations, hieroglyphs and stock icons, Maroscheck developed AI-based systems to...

Artist Casey Reas explores what it’s like to make pictures with generative adversarial networks (GANs), specifically deep convolutional generative adversarial networks (DCGANs).

Searching for agency in the post-Snowden era of mass surveillance and powerful computer vision systems, a cast of key interdisciplinary voices analzye eroding privacy, the proliferation of...

What will the internet of the future make possible? Untethering the Web explores the technologies, strategies, and anxieties that are coalescing in 2022 to shape a new digital paradigm.

The Swiss daily newspaper Tages-Anzeiger interviewed Oliver Reichenstein, founder of iA, on the Aesthetics of AI.

Orlando and Oliver studied philosophy together 30 years ago. Their shared love for philosophy, design, and technology reunited them to discuss AI and the future.

AI and Ethics -