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When Discourse Stalls: Moving Past Five Semantic Stopsigns about Generative AI in Design Research

Willem van der Maden, Vera van der Burg, Brett A. Halperin, Petra Jääskeläinen, Joseph Lindley, Derek Lomas, Timothy Merritt

TL;DR

This essay identifies five semantic stopsigns—reductive framings that impede nuanced engagement with GenAI in design—and grounds its critique in two expert ACM DIS workshops and practitioner interviews. Using Theory U and a stance of critical optimism, it offers mid-level knowledge to bridge theory and practice, detailing concrete strategies such as embracing productive tension, reframing challenges as design opportunities, documenting integration practices, and developing reflective stances. It argues for moving beyond simplistic narratives to foster responsible, context-sensitive adoption of GenAI, while acknowledging limitations and outlining directions for longitudinal, practice-based research. The work emphasizes open dialogue, collective learning, and adaptable frameworks to navigate the ethical, environmental, and socio-economic dimensions of GenAI in design research and practice.

Abstract

This essay examines how Generative AI (GenAI) is rapidly transforming design practices and how discourse often falls into over-simplified narratives that impede meaningful research and practical progress. We identify and deconstruct five prevalent "semantic stopsigns" -- reductive framings about GenAI in design that halt deeper inquiry and limit productive engagement. Reflecting upon two expert workshops at ACM conferences and semi-structured interviews with design practitioners, we analyze how these stopsigns manifest in research and practice. Our analysis develops mid-level knowledge that bridges theoretical discourse and practical implementation, helping designers and researchers interrogate common assumptions about GenAI in their own contexts. By recasting these stopsigns into more nuanced frameworks, we provide the design research community with practical approaches for thinking about and working with these emerging technologies.

When Discourse Stalls: Moving Past Five Semantic Stopsigns about Generative AI in Design Research

TL;DR

This essay identifies five semantic stopsigns—reductive framings that impede nuanced engagement with GenAI in design—and grounds its critique in two expert ACM DIS workshops and practitioner interviews. Using Theory U and a stance of critical optimism, it offers mid-level knowledge to bridge theory and practice, detailing concrete strategies such as embracing productive tension, reframing challenges as design opportunities, documenting integration practices, and developing reflective stances. It argues for moving beyond simplistic narratives to foster responsible, context-sensitive adoption of GenAI, while acknowledging limitations and outlining directions for longitudinal, practice-based research. The work emphasizes open dialogue, collective learning, and adaptable frameworks to navigate the ethical, environmental, and socio-economic dimensions of GenAI in design research and practice.

Abstract

This essay examines how Generative AI (GenAI) is rapidly transforming design practices and how discourse often falls into over-simplified narratives that impede meaningful research and practical progress. We identify and deconstruct five prevalent "semantic stopsigns" -- reductive framings about GenAI in design that halt deeper inquiry and limit productive engagement. Reflecting upon two expert workshops at ACM conferences and semi-structured interviews with design practitioners, we analyze how these stopsigns manifest in research and practice. Our analysis develops mid-level knowledge that bridges theoretical discourse and practical implementation, helping designers and researchers interrogate common assumptions about GenAI in their own contexts. By recasting these stopsigns into more nuanced frameworks, we provide the design research community with practical approaches for thinking about and working with these emerging technologies.

Paper Structure

This paper contains 26 sections, 1 figure.

Table of Contents

  1. Introduction
  2. Related work
  3. GenAI in design
  4. Limited progress in addressing repetitive narratives
  5. Method
  6. Semantic stopsigns
  7. "AI is unreliable"
  8. "All GenAI infringes IP"
  9. "AI is just a tool"
  10. "AI is bad for the environment"
  11. "AI is a race to the bottom"
  12. Proceeding with caution
  13. Concrete strategies for critical engagement
  14. Embracing productive tension: including diverse stakeholders
  15. Reframing challenges as design opportunities
  16. ...and 11 more sections

Figures (1)

  • Figure 1: This figure maps the process of moving beyond semantic stopsigns in GenAI discourse, following Theory U’s stages scharmer2009theory: identify stopsigns (downloading), explore new dimensions (sensing), and reflect to crystallize actionable insights (presencing). This process encourages balanced design decisions and a critical yet optimistic vision of GenAI in design. Whether you ultimately embrace or reject GenAI, this approach helps ground your decision in thoughtful reflection rather than fear or oversimplified narratives.