العربية
AISJ high school students attending a Generative AI presentation in the AI Lab
AISJ LABS · HIGH SCHOOL SENIORS

Preparing future innovators.

A year-long, project-based program for a cohort of twelve.

Cohort cap per track
12
AI Lab and Entrepreneurship
Active tracks
2
AI Lab and Entrepreneurship
Applications open
January
For the following academic year

We don't ask students to simulate research. We ask them to do it. The difference shows up in universities, in interviews, and in the way they talk about hard problems for the rest of their lives.

AISJ Labs faculty advisor - High School program mentor

A week in the Lab

Students work on laptops at a shared library table while a classmate walks past the projection screen behind them.

9:00 a.m. · morning

Tuesday session.

The cohort meets Tuesday mornings in the Lab. No lecture, no slideshow: a shared notebook on the screen, a question from last week still unanswered, and thirty minutes of structured argument. The faculty advisor sits at the edge. Students run the session.

AI Lab Cohort, 2026

Two students in blue polos present a hand-drawn city project board to an adult visitor, beside a banner reading 'Collaboration is key'.

3:30 p.m. · afternoon

Prototype review.

By March, the AI cohort is in iteration three of their classroom writing-ethics tool. They demo to a panel of English teachers, and refine their work in response to the feedback. Two students rewrite the methodology section that evening.

AI Lab Cohort, 2026

What AISJ Labs cohorts have built

  • Responsible AI in writing education

    AI Lab, 2025-26 cohort. The AI Lab cohort researched how high schools should govern LLM-assisted writing. The project includes a student-written position paper, a prototype policy tool, and interviews with writing educators across three schools.

  • Student-led social enterprise design

    Entrepreneurship, 2025-26 cohort. The Entrepreneurship cohort designed a social enterprise addressing food waste in Jeddah school canteens. The project includes a market analysis, a partnership proposal, and a financial model.

  • Bias detection in educational data sets

    AI Lab, 2024-25 cohort. The AI cohort built a lightweight bias-detection framework for educational assessment data sets. The project was presented at a regional STEM conference in March 2025.

  • Community language learning app

    Entrepreneurship, 2024-25 cohort. The Entrepreneurship cohort developed a mobile app prototype connecting heritage Arabic speakers with learners in the AISJ community. Two cohort members are continuing development independently.

Applications open in January.

AISJ Labs cohort is capped at 12 students per track. Applications open January of each year for the following academic year.

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