From Daniel Leufer and AI Myths team (Mozilla Fellowshop Project) | With every genuine advance in the field of ‘artificial intelligence,’ we see a parallel increase in hype, myths, misconceptions and inaccuracies. These misunderstandings contribute to the opacity of AI systems, rendering them magical, inscrutable and inaccessible in the eyes of the public.
Unravel the symbols of ancient Egypt with machine learning in Google's Fabricius
By Google Arts & Culture | Interactively discover this fascinating language by means of three dedicated gateways: First, you can “Learn” about the language of ancient Egypt by following a short educational introduction in six easy steps. Secondly, Fabricius invites you to “Play” and translate your own words and messages into hieroglyphics ready to be shared with your friends and family.
By Stanford HAI | The AI Index Report tracks, collates, distills, and visualizes data relating to artificial intelligence to develop a deeper understanding of the complex field.
The Rules of Brainstorming Change When Artificial Intelligence Gets Involved. Here’s How.
By Ben Syverson, IDEO | What happens when you invite GPT-3 to a virtual brainstorm session? A designer/developer at IDEO ran an experiment and wrote about it here!
"This database* is an ongoing project to aggregate tools and resources for artists, engineers, curators & researchers interested in incorporating machine learning (ML) and other forms of artificial intelligence (AI) into their practice."
By fph | What if human data is de-humanized? What if technology restricts human agency? This speculative design work and reflection explores the digital culture that might emerge, while serving as a reminder of the necessity for human-machine collaboration.
An artistic overview of an experimental AI x typography project done by a graphic design student using Processing, Wekinator (no-code ML tool), and a microphone. Check out the other projects from CCA IxD and graphic design students on the showcase page.
By Daphne Milner via It's Nice That | Mainstream conversations around artificial intelligence, while sometimes characterised by a rhetoric of scientific progress, often deal with anxieties related to the tech. Critiquing its shortcomings is not enough, however. Art can help shape the future of artificial intelligence by exposing its limitations and tendencies to further systemic inequalities.