Issue 60.2
Issue 60.2 explores the relationships between visual communication, language, representation, and artificial intelligence, bringing together perspectives that examine how meaning is constructed, interpreted, and mediated through both human and computational processes. The issue opens with a reflection on originality and value in an era of generative AI, questioning the significance of writing, illustration, and design as creative practices become increasingly automated. It then turns to the role of visual communication in shaping social understanding through an investigation of graphic neutralization in children’s illustrations and its potential to reduce gender stereotyping, before examining the structural relationship between image and writing through a new taxonomy of illustrated letterforms. The issue continues its engagement with artificial intelligence through an exploration of communication design education, considering how students critically navigate the opportunities and limitations of generative AI while reflecting on issues of bias, creativity, and design practice. It concludes by addressing widespread misconceptions surrounding large language models, proposing more accurate conceptual frameworks and metaphors for understanding how these systems function. Together, the articles invite readers to consider how visual and linguistic communication continue to evolve as design, education, and emerging technologies reshape both creative practice and the ways we understand meaning.
Issue 60.2
The Chocolate and Oyster Flavored Donut Hole Of Unoriginality
Matthew Peterson
Issue 60.2
Graphic Neutralization and Gender Stereotypes in Early Childhood: How Visual Variables Shape Children’s Interpretations
Laura Sisti and Luciano Perondi
Issue 60.2
Are You Sure? Exploring the Challenges and Opportunities of Using Generative AI in Communication Design Projects: A Cross‑Cultural Case Study of Student Reflections, Bias, and Critical Engagement
Halldór Björn Halldórsson
Issue 60.2
The Concept of a Large Language Model: Misconceptions about and Beneficial Conceptualizations of LLM Technology
Matthew Peterson, Colleen Patton, Michael Green, and
Brayan Díaz