Dec 09, 2025

What If the News Looked Like This? A student exploration of visual narratives

Xiaojun Huang

About this video

Description

This presentation shares the results of a 16-week classroom experiment in which students used news headlines and articles as raw material, generating images through AI tools. Without step-by-step instructions, they explored independently and developed their own approaches to turning text into visuals.
Beyond a technical exercise, the project raised fundamental questions: Can an algorithm capture urgency, tragedy or hope? Who is the true author of an image—the human, the machine or the news source? Through making and reflecting, students confronted these questions, navigating the space where creative potential meets ethical responsibility in the age of AI.

Xiaojun Huang

Xiaojun Huang is a maker, designer and educator originating from China. Currently holding the position of Assistant Professor at Bowling Green State University, she is dedicated to cultivating the next generation of designers. Huang employs innovative, hands-on teaching methods and leads impactful research initiatives to push the boundaries of design education. In her art-making and design practice, Huang navigates the intersection between Eastern and Western cultures through bilingual typographic graphics, symbols, and installations, exploring the nuances of cultural fusion. Huang’s objective is to spark public discourse on the challenges faced by the younger global generation in maintaining work-life balance. Her work not only reflects the fast-paced nature of contemporary society but also resonates with the working demographic, prompting considerations for adjustments and improvements in the labor system.