(23 projects)
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.
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.
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.
Our art piece, The Rhythm of Violence, was intended to not only shed light on the pervasive nature of violence against women but also to challenge the conventional methods of data representation.
Why these misrepresented machine breakers of the 19th century have found new relevance in the era of AI.
Pau Garcia . Founding Partner
How can AI help us to collectively identify cultural stigmas around mental health, and work towards challenging them?
Revisiting the cautionary tale of Frankenstein, to explore how AI could increase our capacity for empathy.
Here's a rundown of what I've learned about residencies and artists funds up over the years.
Exposing cultural misrepresentation in generative AI models using children’s toys.
It is clear that AI is a valuable tool you could use to finish assignments more quickly, but what would be lost in that process? The Atlantic recently declared that “The College Essay Is Dead,” and although I disagree, this calls for further exploration.
This article summarizes key perspectives on the dilemma we are all facing in the creative industries right now regarding using certain generative Artificial Intelligence tools.
Exploring the creative potential of language models, and share some essential tricks for working with ChatGPT.
A very simplified summary for people who are just getting started with the text-to-image tools.
After a month of collecting messages (and a few crazy nights analysing them to turn the individual testimonies into data) there’s a lot we’d like to share with you after our first iteration of the #730hours initiative
What we learned in the process of putting together a big data-based feminism exhibition in the middle of a pandemic