@Human forশিক্ষা
AI that helps learners learn, with safeguarding built in.
Build virtual classrooms, learner assistants and assessment tools that protect children's data, keep teachers in charge and treat every learner fairly.
- Children's data protected
- Teacher in the loop
- Fairness checks
What's slowing AI down in education
The pressure is real, and so are the rules. Here's what teams like yours are up against.
Assessment and admissions AI is high-risk
The EU AI Act lists AI used for admissions, evaluating learning outcomes and monitoring exams as high-risk, with strict duties.
Some uses are banned outright
Emotion recognition in educational institutions is prohibited under the EU AI Act, apart from medical or safety reasons. You need to know what your tools do.
Minors' data needs extra care
Children's data carries extra protection under GDPR and codes such as the UK Children's Code. Safeguarding can't be an afterthought.
Applications you could build with @Human
Beautiful, everyday tools for your teams and the people you serve, each one a governed project from the first line.
Classroom
Lessons, live quizzes and learner progress in one place, with a teacher-only insight panel.
Progress & Assessment
Progress by subject, skills profiles and a fairness check comparing the marking assistant with teachers across groups.
Study Buddy
A friendly assistant that gives hints, not answers, and encourages learners to think.
Example apps with illustrative data, showing what can be built on @Human.
Governance built for schools and universities
Every @Human app moves through six stages, from setup to compliance evidence. These are the parts that matter most to you.
Vulnerable groups by default
Risk scenarios name children and other vulnerable learners, so their rights are assessed every time.
Teacher approval
Grades, interventions and reports need a teacher's confirmation, never AI alone.
Safeguarding routes
Automations route concerning messages to the safeguarding lead, every time, with no model involved.
Minimal data
The register shows what learner data each feature uses, and field-level denies hide the rest.
Parent-friendly notices
A versioned privacy notice that learners or guardians accept, and accept again when it changes.
Fairness evidence
Compare outcomes across groups and record the review in the governance stage.
AI can propose. People decide. In @Human, AI can prepare work but can never approve or publish a release.
Cheaper to run. Impossible to lock in.
@Human favours tested, programmatic automation wherever the choice exists, so your apps cost less, behave the same every time, and keep working without AI.
Lower token costs
Attendance, reminders and marking workflows run as automation. AI is for hints and feedback.
Lessons go on
If AI is switched off, classes, assignments and records keep working.
Safe term-time changes
Changes are tested in a draft and signed off before learners see them.
Reuse across schools
Trusts and districts reuse apps, policies and risk frameworks across sites.
Is @Human suitable for schools and universities?
Yes. It is designed for organisations that must protect learners' data, keep staff in charge of decisions and evidence fairness.
Can the assistant give answers to homework?
That's your policy choice. Guardrails and policies are set per project, for example hints only, with teacher visibility.
Where is learner data stored?
In your own infrastructure or your chosen cloud region. @Human is not SaaS.
Does @Human use emotion recognition?
No. @Human doesn't provide emotion recognition, and your risk scenarios can record that prohibited practices are excluded.