Universities urged to teach professional judgment amid AI adoption

SINGAPORE, 12 OCTOBER 2026 —

Philippine universities urged to embed ‘professional judgment’ in AI education as CHED framework reshapes academic integrity

The Commission on Higher Education (CHED) has directed Philippine universities to integrate critical AI literacy—particularly "professional judgment"—into curricula as its landmark Memorandum Order No. 21 takes effect, requiring institutions to standardize ethical AI use in teaching, research, and institutional operations. The policy, effective nationwide, mandates transparency in AI-assisted grading, admissions, and faculty evaluations while leaving implementation details to individual higher education institutions (HEIs), raising concerns over uneven student preparedness for the workforce.

The urgency stems from growing AI adoption in academic workflows, where students risk developing superficial skills—such as detector avoidance—rather than durable expertise in evaluating AI-generated content, according to Jenni AI Solutions Architect Alex Spezowka, who spoke to BusinessWorld in an email interview.

With 2,366 HEIs, 188,261 faculty members, and over 5.8 million students covered under the framework, the policy’s success hinges on whether universities translate CHED’s principles into actionable workflows that balance AI efficiency with human oversight and independent critical thinking.

CHED’s MO No. 21, issued earlier this year, serves as a national blueprint for AI integration, granting HEIs flexibility to design institutional safeguards tailored to their needs. However, Spezowka warned that disparate policies could create a skills gap among graduates. "One student may learn how to verify sources, disclose assistance, and defend a research decision," he said.

"Another may learn only how to avoid a detector." Both enter the same labor market, but only one acquires transferable expertise—a workflow where students select evidence, direct tools, test outputs, and defend conclusions, rather than relying on AI as a black-box shortcut.

The framework demands HEIs establish clear guidelines on: - Transparency in AI use, including disclosures for AI-assisted submissions; - Human oversight in high-stakes decisions like grading, admissions, and faculty evaluations; - Prohibited data uploads (e.g., sensitive student information); - Dispute resolution mechanisms for contested AI-generated work; - Ownership of final academic decisions, ensuring faculty—not algorithms—hold ultimate authority.

Spezowka emphasized that syllabi must explicitly state when AI is permitted, what must be human-authored, and how faculty will verify compliance. "Every institution should define how faculty will review disputed work," he said, "and which information cannot be uploaded to third-party AI tools." Without such clarity, he cautioned, universities risk eroding academic rigor by treating AI as a plug-and-play tool rather than a collaborative aid.

The policy’s rollout coincides with global debates over AI’s role in education, where countries like the U.S. and EU have imposed stricter bans on AI in exams while others, such as Singapore and Malaysia, explore regulated integration. In Malaysia, Ministry of Higher Education (MOHE) guidelines on AI in education remain less prescriptive, focusing on digital literacy rather than workflow standardization.

Unlike the Philippines’ top-down framework, Malaysian universities operate under voluntary adoption, with some—such as Universiti Malaya and Universiti Kebangsaan Malaysia (UKM)—piloting AI tools in research but lacking unified policies on student submissions.

For Philippine HEIs, the challenge lies in balancing innovation with integrity. Spezowka’s recommendations align with CHED’s intent but require operational rigor: universities must audit AI tools for bias, train faculty on ethical prompts, and document student-AI interactions to ensure accountability. "The same workflow applies beyond university," he noted.

"The student chooses the literature, develops the argument, checks every source—and decides which AI suggestions survive." Without this structured approach, graduates may enter industries—from finance to healthcare—with AI-assisted skills that lack depth, undermining Malaysia’s own push for high-value labor exports.

The next critical step for CHED is monitoring compliance across institutions, particularly in public universities where resource constraints may delay implementation. Spezowka’s call for standardized syllabus disclosures—mirroring Malaysia’s MOHE’s recent emphasis on "AI ethics modules"—could serve as a regional benchmark. As Philippine universities navigate this shift, the labor market test will be telling: whether graduates emerge with AI as a tool for expertise or merely a crutch for passing grades.

The framework’s success hinges on whether CHED’s flexibility translates into consistency—or if the Philippines replicates the patchwork of AI policies already seen in Southeast Asia’s fragmented higher education landscape.

Related: Jenni AI Solutions Architect Alex Spezowka