The Ambiguity Newspaper is an AI-generated newspaper that embraces the objectivity and subjectivity against the topic of the political status of Taiwan. The newspaper consists of 2 machine learning models to generate the ambiguous portraits and irrelevant text story. By integrating P5.js, a web-based medium, the project welcomes users to input their perspectives and receive an absurd and rational composition newspaper.
Date MAY, 2021
Category GENERATIVE DESIGN, MACHINE LEARNING, PRINT
Format INTERACTIVE WEBSITE & PRINTED TABLOID
Tools RUNWAYML, P5.JS, ADOBE INDESIGN, ADOBE ILLUSTRATOR, ADOBE PHOTOSHOP
Exhibition SOUTHWARK SOUTH DESIGN DISTRICT, LONDON DESIGN FESTIVAL 2021
Feature LCC BA GMD 2021 GRADUATE SHOWCASE
Physical installation at 2021 London Design Festival's Southwark South Design District
The political status of Taiwan is a complex and ambiguous topic in East Asia and beyond. The newspaper aims to deliver the context by combining user-input prompts and background knowledge. Users can generate an ambiguous portrait fitting the generated story that comes from their inserted perspective.
With 12 pages, each page has its own topic with provided background knowledge from Wikipedia. I asked 11 people with different nationalities and identities to interact with the assigned page and send it back to me. The final result of the printed copy is a collective perspective from both human and machine.
The generated images from latent space trained by StyleGAN2 Machine Learning modelScreen recordings of users interacting on the newspaper website by inputting short prompts and generating the profile images
The Ambiguity Newspaper Showcasing in printed tabloid.