Values-led Generative AI in Design Education: A Toolkit for Confident, Critical Practice
By Ruth Powell, University of the Arts London
Generative AI is reshaping creative industries and with it, the way we teach and learn in Art & Design. Whilst these tools can serve as a catalyst for disruption and open new creative possibilities, they also raise important questions about authorship, ethics, originality and the future of creative work. Many educators are asking how to prepare students for this shifting landscape while staying true to the values of craft, materiality and studio-based learning.
Navigating these challenges was at the heart of a QAA funded collaborative project between Nottingham Trent University, University of the Arts London, and Norwich University. In partnership with the iconic Liberty Fabric’s design studio, we designed and delivered a live project exploring how to meaningfully integrate generative AI into Art and Design education, and how to support tutors in doing so.
This blog post provides ALT colleagues with a short report of the project exploring the role of Generative AI within creative art and design education. The project culminated in an Educator’s Toolkit and includes practical resources and guidance for tutors, grounded in creative pedagogy.
The Art, Design & Artificial Intelligence: Educator’s Toolkit is now openly available via QAA Collaborative Enhancement Projects and can be adapted for a wide range of disciplines.
About the Project
The project began with a shared recognition that while AI is rapidly entering creative practice, many educators feel underprepared to engage with it confidently in their teaching practice. Our goal was to create practical resources to help tutors introduce Generative AI in ways that are responsible and grounded in creative pedagogy.
The project adopted a collaborative approach which reflects broader traditions of participatory and co-creative curriculum design, where knowledge is developed collectively through practice and reflection rather than through a centrally prescribed methodology. Each participating institution contributed a plan for a teaching session based on their particular strengths or area of expertise (for example, IP and creative rights, in-platform AI features, AI ethics, and decolonising AI). These sessions were then shared with the wider group and iteratively refined through discussion and feedback.
Over the course of a term, local teaching was supported by online and hybrid teaching methods to support student connection and a sense of community across the three institutions. In practice, this co-design process involved:
- workshops with educators and students to understand their questions, hopes, and concerns;
- collected qualitative feedback to identify emerging themes shaping Generative AI and design education;
- collaboration with industry partners and institutional experts to ensure real-world relevance.
Collaboration was central. By pooling expertise from different contexts, we ensured the toolkit reflects diverse perspectives and is adaptable for a range of Art & Design curricula.
About the Toolkit
The Art & Design AI Educator’s Toolkit offers a structured, design-led way to explore generative AI in teaching. Richly illustrated with examples of students’ process journeys and material outputs, the toolkit offers a tangible sense of how AI can be integrated into real design workflows. It includes:
- Practical activities aligned to the four stages of the design cycle (research, ideation, experimentation and iteration, and design communication).
- Case studies from live teaching scenarios across the three partner institutions.
- Tutor and student reflections demonstrating the opportunities and tensions experienced in practice.
- Values-based prompts to support ethical, critical and intentional use of Generative AI.
Adopting a Values-Based Approach
Whilst technologies evolve rapidly, the values cultivated through creative, critical and material practice are more enduring. Through our conversations with students, tutors and industry partners around AI ethics, nine AI Design values emerged. These are organised into three themes:
- AI as a Tool for Creative Enhancement
- Collaboration over Substitution
- Human Creativity First
- Balancing Craft and Automation
- Ethical and Critical Engagement
- Critical and Ethical Inquiry
- Transparency and Responsible Use
- Inclusive AI Adoption
- Future Ready Design Practice
- Process over Output
- Experimentation and Playfulness
- Creative Resilience in a Changing Industry
As part of the tool kit, we have developed two sets of reflective prompts based on the core belief that criticality is key to both understanding and responsibly using Generative AI.
Presented as a set of conversation “Spark cards”, these values invite tutors and students to reflect on what matters in their own creative practice and how AI might be integrated responsibly and with intention.
The case studies and scenarios in the toolkit are intended as a starting point rather than a prescription. Every teaching context is different, and the activities can be adapted for a wide range of disciplines and levels. By grounding AI integration in design values and pedagogic reflection, we hope the toolkit empowers educators to build confidence, spark debate, and support students in navigating an evolving creative landscape.
We hope colleagues across the sector will explore, adapt and build on these resources within their own contexts. I would value any feedback about your use of the Toolkit.
University of the Arts London