How Designers Envision Value-Oriented AI Design Concepts with Generative AI

📅 2026-04-30
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🤖 AI Summary
Generative AI functions simultaneously as both a design tool and a design material, engendering recursive value tensions that challenge designers in envisioning AI-enabled solutions to reconcile competing values and anticipate potential harms. Drawing on design envisioning workshops and semi-structured interviews with 18 designers, this study conducts a qualitative analysis that extends Schön’s “reflection-in-action” framework, revealing a reflective design thinking process centered on harm identification as a critical signal. Findings indicate that designers demonstrate recursive reflection capabilities, awareness of multi-layered value tensions, and proactive assessment of risks related to the propagation of tool-induced biases. Building on these insights, the study advances a novel perspective that positions design at the foundational core of AI development.
📝 Abstract
As AI integrates into design practice, designers increasingly use generative AI tools to envision AI-enabled solutions, positioning AI as both design tool and design material. This dual role creates recursive value tensions distinct from traditional design work. We engaged 18 designers in a concept envisioning activity and interviews to understand how they navigate values and recognize potential harms in this context. Our analysis reveals that (i) designers engage in reciprocal reflection-in-action with AI; (ii) this process surfaces multi-level value tensions across tool, designer, and concept; (iii) designers demonstrate greater attunement to harm recognition as a primary design signal than to articulating positive value fulfillment; and (iv) designers exercise anticipatory judgment through meta-design reasoning about how tool assumptions risk propagating into designed concepts and future use contexts. We extend Schon's reflection-in-action framework and discuss implications for redesigning AI-mediated design tools, supporting harm-centered reasoning, and positioning design as foundational to AI development.
Problem

Research questions and friction points this paper is trying to address.

value tensions
generative AI
design practice
harm recognition
AI-mediated design
Innovation

Methods, ideas, or system contributions that make the work stand out.

generative AI
value tensions
reflection-in-action
harm recognition
meta-design reasoning