Your Marketing Team Can’t Memorize 1,100 Faces. They Shouldn’t Have To.
Ardingly College has 1,100 students, a busy marketing team, and thousands of photos uploaded every year. When they ran a compliance review, they discovered something that kept their data protection officer up at night: parental objections to photo use were being captured in different corners of the school — and nobody was talking to each other.
Housemasters had one set of records. Admissions had another. Marketing had a centralized photo library but no reliable, real-time way to know which students had opted out. With 1,100 faces, no one could manually keep track.
This is the story of how they fixed it — and what every school needs to understand about AI, privacy, and the photos they’re already collecting.
The Problem Nobody Knew They Had
Ardingly College didn’t go looking for new software. They went looking because a compliance review revealed a genuine internal failure: consent objections recorded in one part of the school were invisible to another.
There were different levels of objections being captured in different areas of the school, and they weren’t always being shared or communicated consistently. So that exposed us to significant risk because we have a centralized marketing team responsible for photos, but we had devolved responsibility for raising those objections.
Sam Coles, Ardingly College
The marketing team was doing their best. But their best meant manually trying to identify 1,100 students in every photo and cross-referencing against permissions lists that might already be out of date. At that scale, mistakes were inevitable.
“Our marketing team are very busy people and they don’t have the time to learn 1,100 students’ faces and names. And that’s where Vidigami came in for us.”
— Sam Coles
- Consent objections captured inconsistently across housemasters, admissions, and marketing
- No reliable, real-time view of which students had opted out
- Marketing team manually cross-referencing permissions for 1,100 students
- High risk of accidentally publishing a photo of a student whose family had objected
- No structured system for privacy-tiered sharing
- Facial recognition auto-tags students — consent flags apply instantly
- MIS integration syncs permissions automatically from school records
- “No public release” tier keeps photos visible internally but blocks external sharing
- Marketing team sees a red indicator before publishing any flagged student
- Hundreds of hours saved over two years
Why This Matters More for a Boarding School
At most schools, photos are a marketing tool. At a boarding school with international families, they’re something closer to a lifeline.
As a boarding school, especially with a very high number of international students, our use of media is a vital tool for us in building a sense of belonging and community for our students and their families. Overseas families especially won’t always be able to attend celebrations of their children’s events.
Sam Coles, Ardingly College
Parents who can’t fly in for a sports day or an award ceremony rely on school photos to feel connected to their child’s life. Taking that away — or making it so complicated that families opt out entirely — isn’t just a marketing problem. It’s a community problem.
The solution Ardingly found was a middle path: a “no public release” tier that keeps photos visible within the school community while blocking them from social media and external marketing. Families who want privacy from the public web can still see their child’s school life.
“What we found was that families typically were not okay with their photos of their kids to be shared out in social media or for marketing, but was perfectly happy with that content to be captured and shared with members of their community.”
— Mandy Chan
The AI Question Every School Is Asking
When parents hear “facial recognition,” alarm bells go off. Sam Coles understands why — and his school has documented exactly how the technology works and why it’s different from what parents fear.
It’s simply an administrative tool that sits in the back end of a function and enables us to pick out which child is which from the photos that we upload more quickly. It’s not making any decisions about that child’s performance as a result of that technology.
Sam Coles, Ardingly College
The distinction matters. Using AI to tag a student in a photo so their family can find it is fundamentally different from using AI to monitor, assess, or predict student behavior. One is administrative. The other is surveillance. Schools that can articulate this difference clearly — to their boards, their parents, and their regulators — are the ones building trust.
For families who object to any form of facial recognition, Vidigami now offers a per-student opt-out: the facial model is never created, but the student can still be manually tagged by name.
One Photo Is All It Takes
During the webinar, Mark Orchison demonstrated something that made the risk tangible. He took a single photo of his own son, uploaded it to a generative AI tool, and asked it to create images of a high school soccer player winning a championship.
The results were almost indistinguishable from real photos.
All I did was I added my son’s image, one image, and I prompted it with winning a championship — a high school student soccer player winning a championship. And it created these images for me. It’s almost indiscernible that it is created and it’s not real.
Mark Orchison, 9ine
This isn’t hypothetical. Mark referenced a case where bullies used a classmate’s face to generate manipulated images — students aged 11 and 12. The technology that makes this possible is improving every month.
For schools, this raises a practical question: where are your student photos, who has access to them, and are they on the open internet? A private, password-protected community platform changes the risk profile entirely compared to photos posted on public social media.
Education as the Answer
Ardingly College didn’t just buy software. They hired solicitors, wrote an AI strategy, created working groups, and trained staff. Sam describes it as a cultural shift, not a technology deployment.
It’s all about knowledge and education. It’s about educating the students, the teachers, and the parents. We’re a place of education, as I’m sure you can imagine. We believe that education can solve lots of these problems for us.
Sam Coles, Ardingly College
Their approach: designate a named individual responsible for evaluating AI tools. Write an acceptable use policy. Create a working group that tests platforms in a controlled environment before deployment. Communicate to parents, staff, and students which tools are in use and why.
The technology matters. But the trust comes from transparency.
Watch the Full Webinar
Hear the complete conversation with Sam Coles, Mark Orchison, and Mandy Chan — including a live AI demo, practical compliance advice, and Q&A.
Full Webinar: AI, Privacy & School Photos
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