V&A's Teacher-First AI Strategy: Slow AI and Creative Fidelity in Museum Learning
At the Museum AI Summit, the Schools and Colleges team from the Victoria and Albert Museum, under the guidance of David Houston, introduced a teacher-centric strategy for integrating AI into museum education. The V&A aimed to enhance educators' confidence through a three-hour CPD session, part of the third year of the Adobe Creative Residency featuring artist Maria Than. Than's 'Slow AI' concept views AI as a medium, examining 'Pure Land' digital visuals in Southeast Asian households. Educators illustrated ideas about the 'AI black box' and utilized sketches for image-to-image applications. While concerns about AI's influence on creativity and human judgment arose, teachers transitioned from fear to hope, exchanging classroom strategies. The V&A also encourages AI-assisted submissions for its V&A Innovate competition.
Key facts
- The V&A's Schools and Colleges team started with teachers, not students, for AI in learning.
- David Houston presented the approach at the Museum AI Summit.
- Maria Than is the third-year Adobe Creative Resident at the V&A, supported by the Adobe Foundation.
- Than's residency focuses on AI and digital worlds, informed by Buddhist principles and 'Slow AI.'
- She is researching the origins of 'Pure Land' digital images in Asian immigrant homes.
- Trudi Barrow, a former Design & Technology head, co-led the session and introduced 'creative fidelity.'
- Teachers drew the 'AI black box' and used hand sketches of sculptures with NewArc and TouchDesigner.
- The V&A allows AI-assisted entries in its V&A Innovate schools competition.
Entities
Artists
- Maria Than
- David Houston
- Trudi Barrow
- Kate Crawford
- Vladan Joler
- Ruha Benjamin
Institutions
- Victoria and Albert Museum
- Adobe Foundation
- Museum AI Summit
- MuseumNext
- Department for Education
Locations
- London
- United Kingdom