The AI-Literacy Graduation Standard

Why a Standard

Degrees say what was studied. The Standard says what a graduate can be trusted with.

Every institution now claims to teach AI. No shared benchmark says what that means: whether a graduate can judge a model's output, use it with integrity, and understand its consequences for the people it touches.

The Graduation Standard exists to close that gap. It is a certification carried by the student, embedded by the institution, and maintained by the Academy as its custodian, the way enduring benchmarks in language and professional practice have always been built.

What It Certifies

Three dimensions of readiness.

Technical Fluency

Working command of AI tools and concepts: what they can do, what they cannot, and how to verify their output.

Ethical Grounding

Judgment about responsible use: integrity in one's own work, and accountability for AI's impact on others.

Applied Readiness

The ability to put AI to work on real problems in one's own field, from the classroom to the enterprise.

Where It Stands

Built in the open, proven in practice.

The Standard is being developed by the Academy's Academic Council and piloted inside the Academy's running programs: school cohorts, Centres of Excellence and faculty fellowships. It will be formally released once it has been proven in practice, and pursued for recognition by education bodies and employers thereafter.

Institutions that join as founding partners shape the benchmark their own students will carry.

The Wider Standards Agenda

The Standard is the first step, not the last.

The Academy's charter commits it to a larger standardisation mission: advocacy for ISO 10000, a proposed standard for scientific ethics and professional morality in AI; quality and responsibility standards for the AI service industry; and legal frameworks for accountable use of AI. The Graduation Standard is where that mission touches every student first.