Fashion AI Research, Enterprise and Education Hub
Fashion Artificial Intelligence Research, Education and Enterprise (FAIREE) brings together technology, fashion and the social sciences to explore how artificial intelligence is transforming the industry. Our work focuses on developing safe, ethical and innovative approaches to using AI in fashion design, education and enterprise.
FAIREE’s researchers and partners use cutting-edge tools and methodologies to map emerging trends, forecast opportunities, and generate new insights for the fashion sector. We connect academia, industry and policy to support responsible innovation and bridge the gap between creativity and technology.
As a catalyst for transformative research and thought leadership, FAIREE reimagines a future, quantum-ready fashion industry shaped by advanced AI, sustainable practices and new ways of designing, making and consuming fashion. Our AI-driven solutions address complex social and business challenges, while our collaborative environment nurtures emerging talent and encourages students and researchers to engage with new technologies confidently and creatively.
FAIREE aims to inspire and inform the wider fashion intelligence ecosystem by bringing together design, data and social foresight. Through partnerships, research and innovation, we help guide the future of fashion in a rapidly changing technological landscape.
FAIREE team
Prof Suraksha Gupta, Head FAIREE, Fashion Business School, UAL
Dr Arnab Banerjee, Coordinator FAIREE, Fashion Business School, UAL
Dr Satya Banerjee, Founder Member FAIREE, Fashion Business School, UAL
Mikha Mekler, Associate Dean Knowledge Exchange, School of Design and Technology, UAL
Andy Lee, Learning and Teaching Innovation Lead, School of Media and Communications, UAL
Members
Shahpar Abdollahi, Nuoya Tan, Anna Ivanova, Jekaterina Rogaten, Eleanor Rockett, Hannah Middleton
External members
Flavia Cetta, NABA
Gurdeep Pandal, UAL
FAIREE's Strategic Pillars
Fashion AI Research
We advance both foundational and applied research in Fashion AI, developing new technologies, tools and methods that support creative, ethical and innovative applications across the industry.
Fashion AI Education
We nurture future-ready talent by offering academic programmes, training and public engagement that build confidence and skills in using AI within fashion practice.
Fashion AI Enterprise
We work with industry partners to exchange knowledge, accelerate innovation and support the adoption and commercialisation of responsible AI solutions that can transform the fashion sector.
The three FAIREE pillars (Research, Education, Enterprise) align closely with several UN Sustainable Development Goals (SDGs) as listed below:
Fashion AI Research
- SDG 9: Industry, Innovation and Infrastructure
Advances cutting-edge AI technologies and innovation within the fashion sector. - SDG 12: Responsible Consumption and Production
Supports research into sustainable materials, circular systems, and reduced waste through AI-driven insights.
Fashion AI Education
- SDG 4: Quality Education
Provides inclusive, future-focused education and AI literacy for students and professionals. - SDG 10: Reduced Inequalities
Promotes access to emerging technologies and skills, helping bridge digital and creative opportunity gaps.
Fashion AI Enterprise
- SDG 8: Decent Work and Economic Growth
Drives new business models, job creation, and ethical innovation in the fashion industry. - SDG 9: Industry, Innovation and Infrastructure
Strengthens collaboration between academia and industry to scale innovation. - SDG 17: Partnerships for the Goals
Encourages cross-sector partnerships to implement responsible AI solutions globally.
Further information
FAIREE’s mandate is to provide insights across all three pillars for a shared emphasis on Innovation (SDG 9), Sustainability (SDG 12) and Collaboration (SDG 17). These SDGs collectively reflect FAIREE’s aim to shape a responsible, inclusive, and sustainable AI-driven fashion ecosystem.
Research projects
- Decentralization through capabilities in human centred technology and engaging social media content: Implications for social inclusion
- Sustainable consumption of wearable healthcare devices and its relevance to the net-zero agenda: Evidence from senior citizens
- Ethics in influencer marketing: a review, synthesis and research directions
- Integrated Learning with AI Enabled Interactions with Customers by Fashion Retailers
- A Critique on Unifying Sustainable Finance, Artificial Intelligence and Responsible Investing
- AI strategy for global brand identity
- Metaverse for digital health solutions
- Navigating the future of AI in marketing: AI integration across borders, ethical considerations, and policy implications
- Evaluating user engagement via Metaverse environment through immersive experience for travel and tourism websites
- Cognitive analytics enabled responsible artificial intelligence for business model innovation: A multilayer perceptron neural networks estimation
- Customer analytics and new product performance: The role of contingencies
- The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health
- AI-Augmented HRM: Literature review and a proposed multilevel framework for future research
- Digital consumption and socio-normative vulnerability
- Financial inclusion through digitalisation: Economic viability for the bottom of the pyramid (BOP) segment
- Integrating machine learning, modularity and supply chain integration for Branding 4.0
- Financial inclusion through digitalisation of services for well-being
Books
Upcoming events
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Krittaya Vutisivachatkul Dreamscape | BA (Hons) Fashion Styling and Production | London College of Fashion | UAL Showcase
Past events
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Krittaya Vutisivachatkul Dreamscape | BA (Hons) Fashion Styling and Production | London College of Fashion | UAL Showcase