NeuroCampur.Ai Fireside Conversation
Can You Trust Your AI?
Everyday AI, Research-Grade AI and the Future of Student Learning
A fireside conversation with Professor Ts. Dr. Aida Mustapha, Professor of Artificial Intelligence, on the widening gap between the AI students use every day and the AI that can be trusted in serious research. We look at how to tell one from the other, and what it means for how a generation learns, writes and thinks.
No website account needed. Only registered participants receive the joining link.
All queries: aisyah@neurocampur.ai
In conversation
Professor Ts. Dr. Aida Mustapha
Professor of Artificial Intelligence · Universiti Tun Hussein Onn Malaysia · former Deputy Vice-Chancellor (Research & Innovation), UMPSA
Our guest
Professor Ts. Dr. Aida Mustapha
A Professor of Artificial Intelligence who has spent a career teaching machines to understand language, and institutions to understand machines.
A scholar shaped on two continents
Professor Aida Mustapha read Computer Science at Michigan Technological University in the United States, graduating Magna Cum Laude, before completing a Master's degree at Universiti Kebangsaan Malaysia and a PhD in Artificial Intelligence at Universiti Putra Malaysia. That path, from American engineering rigour back to Malaysian research leadership, still shapes how she talks about machines that reason.
Five hundred papers, one question
With more than 500 refereed publications across Artificial Intelligence, Soft Computing, Data Mining, Computational Linguistics, Natural Language Processing and Intelligent Agent Systems, she is among Malaysia's most cited AI scholars. Behind the volume sits a single question she has chased for two decades: how does a machine come to understand what a human actually means?
Research leadership at national scale
As former Deputy Vice-Chancellor for Research and Innovation at Universiti Malaysia Pahang Al-Sultan Abdullah, she led an entire university's research, innovation, commercialisation and industry engagement agenda, with a firm emphasis on responsible AI adoption, research intelligence and talent development.
Certified, and still building
A Microsoft-certified Azure AI Engineer and Azure Data Scientist, she is lead trainer for Akademi Intelek dan Data Analitik (AI.DA), preparing students and working professionals for professional certification in cloud, data, AI and cybersecurity. She remains, by her own description, a programmer first.
Systems that left the laboratory
Her teams built platforms that are genuinely used: ORKED for research expertise, JASMINE for judging national and international innovation exhibitions, RICHER for Johor's culture and heritage, TULIPS for sports intelligence and IRIS for industry and society relations. JASMINE alone has taken her to head-judge tables at PECIPTA, RISE and national enterprise competitions.
Editor, assessor, gatekeeper
Chief Editor of the Journal of Quranic Sciences and Associate Editor of a sports medicine journal, she is also a veteran grant assessor for Malaysia's Ministry of Higher Education and the European Science Foundation. She champions the RDICE framework, linking Research, Development, Innovation, Commercialisation and Economy, and argues that AI should be treated as national infrastructure rather than a novelty.
What the session looks like
Four acts, and one rapid-fire round
This is not a lecture. It is a live interrogation of how students actually use AI, built as a single arc that moves from capability, to trust, to language, to what a student should become next.
Act One
First 20 minutes
From “What can AI do?” to “Can we trust it?”
The turning point in her own career, and the line the whole session rests on: everyday AI versus research-grade AI.
Act Two
Middle 25 minutes
Where the line actually sits
“Use AI responsibly” means nothing until someone draws the boundary. Here we draw it, in public: extending your thinking versus outsourcing it, credit, and who carries the risk.
Act Three
Following 20 minutes
Language, culture and the illusion of understanding
Two decades of computational linguistics, aimed squarely at what students assume when a machine writes fluently, and why cultural nuance is the first casualty.
Act Four
Final stretch
From consumers to builders
Students are among the world's most enthusiastic AI users. The session ends by asking them to become builders, critics and creators instead.
Rapid fire
Green, amber or red. No explanation given.
Everyday student habits, judged live and without hedging. Decide your own verdict before she gives hers.
Before you join
Hear her in her own words
A short viewing list to arrive prepared. Come with a question worth asking.
Conversational Agents: Chatbots to Humanoids
Her TEDx talk on the long road from scripted chatbots to machines that hold a conversation, and why understanding is harder than answering.
Watch on YouTubeBuilding Your Researcher Profile
A practical masterclass for early-career researchers on building visibility, credibility and a citable body of work.
Watch on YouTubeClaim your place
Register for the fireside conversation
Saturday 10 October 2026 · Online · 10:00 UK time / 17:00 Malaysia time · Free to attend
Only registered participants receive the online joining link. No website account is needed.
All queries: aisyah@neurocampur.ai