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AI in Education Uncategorised

AI and Sustainability panel discussion (May 2026)

Friday, 8th May 2026, 11:00-12:00 BST

This online session (MS Teams) can be booked by UAL staff and students via Eventbrite:

Join us to explore how AI technologies intersect with questions of sustainability, responsibility and the future of creative practice.

This event will be co-hosted with George Barker.

Panellists include: 

  • Mayra Berrones, Specialist Technician AI and Data Science, CCI
  • Vrushali Landge, MA Innovation Management, CSM
  • Pradipta Ray, MA Innovation Management, CSM
  • Mingming Liu, MA Innovation Management, CSM
Image credits: The Park Walk, Josie Chen, 2023 MA Illustration and Visual Media, London College of Communication, UAL

Shared resources

We have created the following Padlet board where you will be able to access the readings, as well as add your questions and comments:

Short biographies

George Barker

George Barker is an environmental educator whose research and teaching is specialised around environmental policy, life cycle assessment, and carbon data. At UAL, George designed and has delivered an award-winning Carbon Literacy training course to over 1,700+ learners. Based out of the UAL Net Zero team, he teaches broadly across a range of art and design disciplines including fashion and textiles, architecture, graphic design and media and performance.

George’s broader research focuses on inclusive pedagogies for environmental data, alongside emerging technologies and decarbonisation strategies across the creative industries. He is also a co-founder of the UAL Climate Emergency Network. His curatorial work has been exhibited at ZKM, Museo La Tertulia, and West Den Haag.

Mayra Berrones

Mayra is a full-time AI and data science specialist technician at UAL’s Creative Computing Institute, originating from México. Her academic journey culminated in a doctorate in systems engineering with a foundation in software engineering. Prior to her moving to the UK, Mayra imparted teaching in a master’s program, focusing on data-centric subjects, including big data, data preprocessing and analysis, and data mining. Her research involves deep learning and machine learning methodologies, particularly employing medical imaging data. 

Glassbox: Vrishali, Pradipta and Mingming

Glassbox is a student-led collective that combines critical inquiry with practical intervention, aiming to promote more mindful and responsible AI use. Assembled at CSM in 2025, amidst the early days of rapid AI integration, Glassbox strives to remain sensitive to how AI acts as a mediator that is fundamentally altering our relationship with self, society, and ecology. Currently, we exist as a research and facilitation collective, working to develop our interventions and engage with stakeholders within the UAL ecosystem and beyond. Since assembling at CSM in 2025, our work has moved across research, facilitation, and design intervention. We have authored a paper examining how the aesthetics of AI interfaces shape cognitive engagement – currently under review at the Design Research Society – and facilitated participatory AI literacy workshops with over 50 students in collaboration with the Alan Turing Institute. We placed 2nd in the Global Student Service Design Challenge 2025 among 200+ teams worldwide and have been awarded the UAL Social Purpose Innovation Fund under the Sustainable AI track to carry out the responsibility of co-designing sustainable AI practices with students and faculty across the university. We’re working towards creating resources and frameworks that can be leveraged for responsible AI use in higher education.

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