As Philippine higher education institutions explore how AI can be integrated responsibly into research and learning, academic AI platform Jenni AI is launching Reviews, a suite of research-focused tools to help students and researchers verify claims, check sources and assess draft quality.
Jenni AI suite’s two headline tools address the two common concerns around AI writing tools in academia. Claim Confidence verifies every source and claim in a draft, flagging anything misrepresented or unverified and suggesting citations where support is missing. It is a direct response to the fabricated-reference problem that has dogged general-purpose AI tools in research settings. Peer Review assesses a paper using a standardized rubric, leaving comments on strengths and weaknesses before it reaches a journal.
Jenni AI’s Agreement with Universities
The launch follows a run of agreements with Philippine higher education institutions, including Mapúa University, the University of Santo Tomas, Cebu Technological University, Central Philippine University, Holy Angel University, Laguna State Polytechnic University and De La Salle Medical and Health Sciences Institute, which has renewed its agreement.
“The objection we hear from Philippine faculty is never ‘AI is bad’. It’s ‘can I trust what it produced and are the sources AI is referencing real?’,” said Justin Wong, Head of Commercial Operations at Jenni AI. “Claim Confidence exists because that’s a fair question. If a tool puts a citation in your paper, it should be able to show you the source and tell you when it can’t.”
The rollout also builds on the platform’s AI Declaration command, which inserts a formal acknowledgement of AI use into a paper. The company says more than 100 published papers have used it.
This focus on verification and transparency comes as Philippine higher education moves towards more structured approaches to AI use. Earlier this year, The Commission on Higher Education has been developing a draft AI Policy in Education focused on responsible integration. A recent research by Second Congressional Commission on Education (EDCOM 2) also found that higher education institutions are already introducing measures around academic integrity, assessment design and AI literacy, alongside the use of AI to support teaching and research.
For Jenni AI, these developments reflect a broader shift in the conversation from whether AI should be used in academic work to how it can support learning and research while keeping students and researchers responsible for the thinking, evidence and final output.
