<aside> 🖼️ 2024 / NOW

Archival Images of AI: Remixing + re-using digital heritage collections to create better images of AI

Archival Images of AI explores remixing and reusing digital heritage collections to craft better images of AI.

URL: Webpage + Intro Video + Research Log

TIME: May–November 2024

TEAM: Ploi Flynn (Project Lead + Researcher), Nadia Piet (Researcher + Creative Lead + Image-Maker), Dominika Cupkova (Researcher + Image-Maker), Tania Duarte (Better Images Lead), Rasa (Sound & Vision Lead), Zeina Saleem, Hanna Barakat, CristĂłbal Ascencio (Image-makers), Kaashvi Kothari (Report Design), Sofia Vieira (Editor)

CREDIT: A collaboration between AIxDESIGN and the Netherlands Institute for Sound & Vision with advisory from Better Images of AI ✨

https://www.instagram.com/p/DB9OQiyoJvI/

IMG SRC: 19th century shallowfake porn by Dominika Cupkova

IMG SRC: 19th century shallowfake porn by Dominika Cupkova

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Introduction

In this project, we’ll explore how existing images — specifically those from digital heritage collections — can be remixed and reused to make better images of AI. With limited budget (and therefore time), this research will take an insight-led and participatory approach, tapping into the insights of the AIxD community, and cultural heritage practitioners across the US and Europe. At project end, we plan to publish open-source tools and an image-making guideline documenting our findings.

If you’d like to follow along, we’ll post regular research updates here: [ RESEARCH ] Archival Images of AI

This project is brought to you by AIxDESIGN, advised by Better Images of AI with funding and support from the Netherlands Institute for Sound & Vision.


Context

Insights from 2023

In 2023, AIxDESIGN and Better Images of AI with funding from AI4Media launched Better Images of (Responsible) AI. The project had three objectives:

Together with artists Anne & Luke, Clarote, and Jazmin Morris we published 11 new images to the Better Images of AI library, and learned a ton about the opportunities and challenges artists face when trying to create better images of AI. This project builds on some of those insights.

Read these insights in full:

Using cultural ‘fossils’ to make better images of AI