What “situated” AI looks like in practice - part 1
It starts with a face. Or maybe a dress. Or the color of a wall in a kitchen that no longer exists.
(49 projects)
It starts with a face. Or maybe a dress. Or the color of a wall in a kitchen that no longer exists.
Generative AI systems are built to predict. They look at very large archives of past behavior and past expression, compress them into numerical form, and then, when asked, produce the most likely continuation.
This is the first piece of what will be a longer series - on why, how, when, and where we want to show up online; trying to make do in a space that is complex, layered, and, frankly, pretty hard to figure out.
For some time now, I’ve been coming back to a certain recurring thought: which is that we have this huge emphasis and desire to invest greatly in childhood - think educational toys, advanced methods, accessories, and all kinds of innovations. And yet, at the same time, I suspect that we are a lot less adamant about investing in the other side of the demographic scale: older people.
Over ten years of data-driven exhibitions, we've seen firsthand that art can plant seeds of thought, change minds and grow communities. We’ve also learned that none of this is guaranteed. This is because the true impact of art lies not in the quality of the piece, but the environment in which we find it.
Stories can capture and dazzle us, and they can have the capacity to open eyes, challenge biases, and spur action. But as we’ve matured, so has our understanding of what it means to engage with information in a world overwhelmed by it. In the last years, we’ve been adding to stories a new challenge: building tools.
An experiment on artificial blindness
A music box using AI to compose a melody for a future memory
Using AI to reveal shared human movements through time
An installation to explore how algorithms look right back at us
Recalibrating the Panopticon through government watch
A plug-in to detect online bias and flawed logic
Yes, video is increasingly dominant in education, entertainment, and communication. But does that mean it will - or should - replace reading and writing?
Let’s start with an observation: AI models, such as GPT-4o are astonishingly good at faking brilliance.
A public office for visual memory reconstruction using AI
Bringing us closer to everyday data with street theatre
An exhibiton to explore the extremities of consciousness
In this article we explore how to protect and support the work of artists with practices in the space of generative AI.
How can we make our own decisions in a rapidly changing world that is only seen through the lens of biased media?
Today, I want to make a case for the potential of using Gen-AI tools to help data visualization bridge quantitative data with qualitative human experiences.
An installation to ask and answer crucial questions
We are pleased to announce the Clever Hans Project, developed by Domestic Data Streamers (DDS) with support from ACCIÓ. This innovative project automates the creation of communication content, reducing campaign delivery time from 40 days to less than 20 minutes, while also promoting sustainability and gender equality. For more information, visit ACCIÓ.