Academic & Education · PHEIA · Proposed AI Governance Bill
A student on
probation deserves
an explanation.
AI-assisted academic standing decisions — probation, dismissal, scholarship withdrawal — are Significant Decisions. Universities and private colleges using AI to make these calls should be able to give a formal, cited explanation on request — the AIGE principles call for it, and Malaysia's proposed AI Governance Bill is under public consultation. DecisionCore delivers it automatically, at the point of every decision.
AI governance in Malaysia
Proposed
The AI Governance Bill is proposed and under public consultation (July 2026). Institutions that keep explanations now are ready for it.
Student request
Immediate
A student affected by an AI-assisted decision should be able to get a formal explanation — on request, without delay. DecisionCore generates it at the point of the decision.
Student data scope
Personal data
Academic records, attendance data, and assessment results are personal data under PDPA. A breach likely to cause significant harm must be notified to the PDP Commissioner within 72 hours — clear records help.
Use cases
Where explanations
matter.
Any AI-assisted decision that materially affects a student's academic standing, access to programmes, or financial support constitutes a Significant Decision. These are the most common academic applications.
Academic standing
Probation & Dismissal
AI-calculated cGPA thresholds and automated probation triggers are the most common academic AI use case. Every student placed on probation by an automated system should receive a formal explanation. DecisionCore generates it at the point the flag is raised — not when the student files a complaint.
Scholarship
Scholarship Eligibility
Automated scholarship eligibility checks, renewal decisions, and means-tested awards driven by AI scoring systems should be explainable. DecisionCore produces a formal record citing the specific eligibility criteria that were not met — for the student and for the awarding body.
Assessment
Grade Appeals & Integrity
AI-assisted plagiarism detection systems that trigger academic misconduct proceedings, and automated grade moderation decisions, are Significant Decisions. DecisionCore provides an auditable explanation trail that demonstrates the decision was fair, documented, and cited to the correct policy.
Admissions
Enrolment & Admission Decisions
AI-scored admissions, course placement decisions, and programme enrolment limits imposed by algorithm all deserve an explanation. Every rejected applicant should be able to understand why — and institutions need the audit trail to demonstrate due process.
How it works
Automatic. At the
point of every decision.
DecisionCore integrates with your Student Information System, LMS, or academic management platform via REST API. One call per decision — one explanation record per student.
01
Send the decision
POST the academic decision and student context to the API. Processed on TechnoNet's own servers in Kuala Lumpur — never sent to a third-party AI service.
POST /explain
{
"decision": "Academic probation",
"subject_description":
"cGPA 1.4, threshold 1.5",
"sector": "academic",
"tenant_id": "my-university"
}
02
DeepSeek R1 reasons
DeepSeek R1 matches the decision against your academic policy corpus — student handbook, PHEIA regulations and the AIGE principles — and traces each policy provision that informed the outcome.
Matching academic policy...
Student Handbook §8.3
PHEIA Reg 2011 s.45
AIGE — transparency
Audit ID: ADMT-EXP-3f8b4d
03
Generate the record
A formal A4 PDF is generated — policy citations, the AI's reasoning chain, and a plain-language notice of the student's rights, including how to appeal. Ready for the student or university auditor.
ADMT-EXP-3f8b4d.pdf
· Probation summary
· Policy citations
· Reasoning chain
· Student appeal notice
What you get
Built for
academic governance.
📄
Policy-Cited PDF Reports
Every academic decision generates a PDF citing specific student handbook provisions, and PHEIA regulations. Handed to the student with their decision letter — before the appeal, not after.
🔒
Student Data Sovereignty
Academic records, cGPA data and assessment history are processed on TechnoNet's own servers in Kuala Lumpur, with no third-party AI service involved. Explanation records are kept in full for 12 months, then reduced to a verification record. Institutions that need student data to stay on their own server can run DecisionCore Enterprise there.
📋
Appeal-Ready Audit Trail
Every decision and explanation is stored in an append-only audit log with a record fingerprint — in full for 12 months, covering the usual appeal window, then as a verification record for 7 years. The student's report and your copy of it stay verifiable.
✅
Granular Student Consent
The PDPA requires consent to process personal data for specified purposes. DecisionCore logs every consent grant and withdrawal immutably — consent_version and purpose_id per record — for every student in your system.
🔗
SIS & LMS Integration
Standard REST API (POST /explain) and MCP server. Works with any Student Information System, Learning Management System, or academic management platform via HTTP POST. No middleware required.
🚨
72-hr Breach Detection
Student records are personal data under the PDPA. DecisionCore monitors your application logs continuously and alerts your Data Protection Officer to breach indicators — with a full record to support any notification to the PDP Commissioner.
Give every student
the explanation they deserve.
3 free explanation reports. No credit card. Hosted in Malaysia, no third-party AI.