Fashion design students increasingly rely on AI for creative tasks and research, leading to a decline in original thinking and cognitive skills, but lecturers lack effective tools to detect AI use without false positives.
Turnitin and similar AI detectors often make errors in judgment, falsely flagging human work as AI-generated or missing AI-generated content, and they do not address the root problem of students using AI to bypass creative thinking.
Workarounds Described
- bans students from googling or using AI during brainstorming but gets vague responses
- uses Turnitin but it often makes errors in judgment
- manually checks research reports for nonsensical AI-generated content
Implied Software Gaps
- An AI detector calibrated for creative writing and design that minimizes false positives
- A tool to assess the originality of design sketches and brainstormed ideas
- A platform to track and compare students' creative output over time to detect reliance on AI
CreativityGuard
CreativityGuard is an AI-detection and creativity-assessment platform designed for design and arts education. It not only identifies AI-generated content with high accuracy but also evaluates the originality and creative process of student work through sketch evolution analysis, brainstorming session recordings, and iterative design logs. It provides lecturers with actionable insights to foster authentic creativity.
- Advanced AI-content detection with low false-positive rate, trained on design and fashion contexts
- Creative process analytics: tracks iterative design changes and originality of sketches
- Brainstorming session transcription and originality scoring against a database of known concepts
- Plagiarism and AI-use risk dashboard for individual students and cohorts
Existing Solutions Mentioned
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