Public Competition for Better Images of (teaching and learning) AI!

Ornage and red picture of people at computer terminals with networks overlaying them

Call for images: Reclaiming and Recentering the History of Diversity in AI Education at the University of Cambridge

Cambridge and LCFI researchers have played key roles in identifying how current stock images of AI can perpetuate negative gender and racial stereotypes about the creators, users, and beneficiaries of AI. Following on from this, a project has been set up to increase the visible diversity of the images used to represent AI teaching and events programs in Cambridge.

The first phase of the project was to commission exciting collage artist and emerging technologies scholar Hanna Bakarat to provide a set of images, drawing on her work of researching AI narratives to uncover and reclaim diverse histories.

We’re now delighted to collaborate to open up the challenge and to invite public submissions of ‘stock quality’ images by the 30th of December 2024 (11:59PM UTC). The competition can be entered by the University of Cambridge (UK) community, but also anyone who wishes to contribute to improving narratives about how teaching and learning about AI related fields can be conceptualised.

The recent release of the new Archival Images of AI Playbook means that even those with no artistic or design background can have a go, or existing designers and art students can bring their own ideas and add to making more inclusive and less exclusionary images.

In addition to our thanks for adding to the visual discourse, University of Cambridge have made. available a couple of prizes:

First Prize: £250

Commendation Prize: £100

Entries will be judged by representatives of Better Images of AI, LFCI and University of Cambridge.

Further Information

The Leverhulme Centre for the Future of Intelligence and the University Diversity Fund want to increase the diversity of the images that are used to represent AI-related teaching and event programmes in the University of Cambridge.

The entries will be judged on the following criteria:

  • How the images reflect the brief: ‘reclaiming and recentering the history of diversity in AI education in the University of Cambridge’
  • The inclusion of creative or surprising elements in the image
  • The appropriateness of the image to be used for teaching and events
  • The forms of representation included in the image
  • Aesthetic quality

Visual Guidelines

Please read the Guide to making Better Images of AI to see what tropes to avoid and what might make a good representation related to AI.

Image uses

These include images used for outward-facing posting on social media, University of Cambridge websites, internal communications on student sites and Virtual Learning Environments. They will also be made available for wider Cambridge programs to use for their teaching and events materials. Those agreed will also be added to the Better Images of AI website on a Creative Commons licence with artist attribution and available for wider public download.

Licences

You can use any techniques and source materials that work for your vision. However, all materials need to have the correct license for use and you need to have full ownership of the end product, so we recommend using images from the Creative Commons Portal with a ‘free to be used and remixed’ license’.

Privacy

Please also ensure to anonymise people if they are featured in images.

Techniques / style

Any techniques and approaches are welcome as long as they result in high quality digital images. This can include digital art, photography, collage, illustration and also invite artists to use different image techniques using the Archival Images of AI Playbook. We do have specifications around the use of AI image generators, see below.

AI generated Art

Although inclusion in the Better Images of AI library is not necessarily essential for the winning entry, the library will only accept submissions which use Adobe Firefly (which uses consented images, compensates artists and labels as AI generated), with licensed or original images as visual prompts.

Format

Entries must be in a .png file and submitted to info@betterimagesofai.org. The winning entries will be made available for open access use under a creative comms non-profit licence through the University of Cambridge, and ideally also in the Better Images of AI library. Entrants may also be contacted to include their image in the open-access collection with honourable mention. 

Key dates

Competition opens: 9th of December 2024 (9:00AM UTC)

Competition closes: 30th December 2024 (11:59PM UTC)

Decisions of winners announced: January 2025


Further Information

Please contact info@betterimagesofai.org.

Press release: New playbook released to enable creation of images of AI using free and open licence digital heritage collections from around the world


  • Archival Images of AI project enables the creation of meaningful and compelling images of AI
  • New playbook includes 38 pages of guidance and sources of free to use archive images
  • Showcases methods and tips for remixing archive images which can be used by anyone 
  • Inspirational artists have created free-to-use examples of their own interpretations of AI 

LONDON / AMSTERDAM 4th December 2024: As AI continues to make headlines and evolve in ways that impact the general public, global critical AI research community AIxDESIGN has released a research-informed playbook for remixing free and open licence images to create better images of artificial intelligence. It uses techniques that anyone can apply without the use of AI image generators.

Producing accurate images of AI – whether this is technically accurate or suitable for any given narrative or situation, is not always easy without an illustrator or access to a wide variety of images that can be easily edited or remixed. AIxDESIGN, in partnership with Netherlands Institute for Sound & Vision with inspiration from Better Images of AI and support from We and AI have released a playbook as a guide to address this challenge by working with free images from consented archives around the world and artists immersed in expressing their experiences and understanding of the technology.

Archival Images of AI Playbook

The playbook includes vital information about the use of archive images as well as details about the creation and representation of artificial intelligence through visual narratives. The project builds on the principles outlined in Better Images of AI: A Guide for Users and Creators that explain why accuracy is important when it comes to communicating these technologies to the wider public. 

By making poor choices about how AI is visualised, communications from media to marketing often risk misinforming or misleading the public about how it works, what it means and the impact it can have. The playbook offers new ways to interpret images of AI by engaging with cultural archives to explore historical and social context. It also has sources of visual stimuli and motifs that can be used freely and with open licences by anyone seeking to illustrate their writing or communicate AI news and reflection. 

A highly creative and reflective selection of artists and researchers have contributed to the guide to offer tutorials and examples, including: 

Hanna Bakarat, researcher, activist and collage artist. She’s been deep in researching narratives of AI and exploring collage as an act of resistance. 

Cristóbal Ascencio, a Mexican visual artist. As a photographer, his practice explores new forms of image making such as virtual reality, data manipulation and photogrammetry. 

Zeina Saleem, graphic designer interested in data beautification and the aesthetics of algorithmic distortion. 

Dominika Čupková, interdisciplinary artist and researcher connecting the dots between AI, art, design and feminism.

Nadia Piet, Nadia is an independent researcher, designer, and co-founder and creative director of AIxDESIGN. 

The playbook is available for anyone to download and is accompanied by detailed artist logs available at https://aixdesign.co/posts/archival-images-of-ai. Readers can explore the works’ origins and development and input from Eryk Salvaggio, Cees Martens, Isabel Beirigo, Monique Groot, Danny van Zuijlen, Alice Isaac, Anne Fehres and Luke Conroy.

The playbook is launched at an interactive event where attendees have an opportunity to test and play with the techniques and interact with the artists. 

A varied and powerful selection of over 25 of the images created by the artists will be added to the free Better Images of AI image library where any individual or publication can use the images for free. 

The playbook can be downloaded at https://aixdesign.co/posts/archival-images-of-ai and https://blog.betterimagesofai.org/archival-images-of-ai-playbook/.

About Netherlands Sound & Vision

The Netherlands Institute for Sound & Vision is a knowledge institute in the field of media culture and audiovisual archiving. It specialises in cultural programming, educational offering and research that makes media heritage available, searchable and relevant. Learn more at https://www.beeldengeluid.nl/en. 

About AIxDESIGN 

​​​​​AIxDESIGN (AIxD) is a global community of designers, researchers, creative technologists, and activists using AI in pursuit of creativity, justice and joy and living lab exploring participatory, slow, and more-than-corporate AI. Learn more at aixdesign.co.

About Better Images of AI Better Images of AI is a global non-profit collaboration which curates and commissions stock images that avoid perpetuating unhelpful myths about artificial intelligence, downloadable for free. It provides guidelines and research and creates a space for imaging and creating more inclusive, transparent and realistic visual representations of AI themes and technologies, avoiding overused cliches and alienating, disempowering tropes. It was launched in 2021 with input from a global community of researchers, practitioners and institutions including BBC R&D and coordinated by We and AI.