Design Nexus: Interdisciplinary Journal of Design Studies is a peer-reviewed, open-access journal dedicated to exploring interdisciplinary connections in design, including spatial, visual, digital, and cultural dimensions.
The journal welcomes theoretical papers, empirical research, case studies, visual essays, critical reviews, and interviews. Submitted manuscripts must be original, unpublished, and not under consideration elsewhere.
Design Nexus is free of charge and publishes in June and December.
This policy establishes the standards for transparent, ethical, and responsible use of generative artificial intelligence (AI) and AI-assisted tools in submissions to Design Nexus, an international journal focusing on design research, creative practices, visual culture, and design-driven innovation.
Unlike scientific or engineering-focused journals, Design Nexus recognizes that emerging AI tools may influence creative workflows. However, the journal maintains strict requirements for authorship accountability, research integrity, and originality.
The policy aligns with global publishing ethics and is adapted from Elsevier’s guidelines.
While AI tools may influence design processes, human authors must remain the primary creators, interpreters, and decision-makers.
All conceptual development, research design, argumentation, and conclusions must be authored by humans.
AI cannot generate intellectual contributions that qualify for authorship.
Authors may use generative AI or AI-assisted systems for:
Improving grammar, clarity, or stylistic coherence
Organizing text or enhancing readability
Supporting idea generation at early brainstorming stages (with full human refinement)
Non-creative, functional tasks (e.g., citation formatting, style adjustments)
These uses must be supervised by authors, who retain full responsibility for the manuscript.
AI tools must not be used for:
Writing core scholarly arguments or theoretical frameworks
Generating research findings, analyses, or critical interpretations
Fabricating citations, quotes, interview content, or visual/ethnographic data
Producing textual content presented as original scholarly insight
Writing responses to reviewers without human authorship
AI-generated references are strictly forbidden.
Design fields sometimes involve speculative or conceptual imagery; therefore, our policy differentiates among categories.
AI-generated images, illustrations, or conceptual visuals are permitted only under the following conditions:
Their generative nature is clearly acknowledged
Their role in the research (e.g., speculative design, visual exploration) is explicitly justified
The Methods or Creative Process section explains how AI tools were used
They do not misrepresent empirical, observational, or experimental data
AI-generated visuals cannot be submitted as:
Evidence
Empirical documentation
Data visualizations
Analytical images
Visual materials must not:
Falsify or distort research data
Present AI-generated content as real-world observation
Alter empirical images beyond standard adjustments (brightness, cropping, color balance)
For empirical research, raw files must be supplied upon request.
All use of generative AI or AI-assisted tools must be declared in a dedicated section:
“Statement on the Use of Generative AI and AI-Assisted Tools”
The disclosure must include:
Tool names and versions
Scope and purpose of usage
Assurance of human authorship and accountability
No disclosure is needed for traditional proofreading tools or non-generative software unless they create content.
AI tools:
Cannot be listed as authors
Cannot meet authorship criteria
Cannot be credited as contributors in acknowledgments (tools are cited like software)
All authors must:
Approve the final manuscript
Accept responsibility for all content
Be accountable for the integrity of both textual and visual materials
Reviewers must not upload manuscripts, images, or excerpts to public AI tools.
Confidentiality is a core ethical requirement.
Reviewers may not:
Use AI to evaluate scientific or creative merit
Generate review reports via AI
Summarize or paraphrase manuscripts using AI tools
Peer review must remain an expert-driven process based on human judgment.
Editors must not use generative AI tools to:
Make editorial decisions
Evaluate the originality or rigor of submissions
Produce communication with authors or reviewers
AI-based similarity checks may be used only for plagiarism detection via approved institutional tools.
Editors must not upload manuscripts or review materials to open AI systems.
Failure to adhere to this policy may result in:
Rejection of the submission
Request for corrections
Retraction of a published article
Notification to an author’s institution
Restrictions on future submissions or reviewer participation
This document will be revised regularly as AI technologies evolve within the design and creative research landscape.