Author: Nizam Kadir
-

Unboxing the AI Black Box: Call for Research Participants
As AI moves into high-stakes decision-making, understanding why it makes recommendations is crucial. My doctoral research at SUTD introduces Explicit Orchestrated Decision Design (EODD) to unbox the AI “black box.” We are looking for participants to help us validate this new transparent framework in a 30–45 minute online study. Click to see how we are…
-

Formalizing Machine Pedagogical Intelligence: Announcing AIED 2026 Acceptance of our “ES-LLMs” Architecture
We are thrilled to announce the acceptance of our latest paper at AIED 2026. This research introduces the ES-LLMs architecture, providing the technical validation for “Machine Pedagogical Intelligence” by replacing monolithic “Black Box” models with a rule-governed, highly efficient team of specialized AI tutors.
-

The Architect’s Dilemma: Rethinking Assessment When AI Does the Heavy Lifting
In an hour, I built a production-grade ML app with full documentation—without writing a single line of code. If AI is the mason, students must become the Architects. Here’s why we need to stop grading the product and start assessing the process.
-

The $880 Million Regression Mistake: How Zillow’s Algorithm Learned the Wrong Lesson About Reality
In 2021, Zillow shuttered its “Offers” division after a staggering $880 million loss. It wasn’t a market crash or a lack of data that did them in—it was the math itself. Explore how one of the world’s most sophisticated regression models became “confidently wrong” at scale, and why the most expensive mistake a data-driven company…
-

Invitation to Participate: Expert Ratings of AI-Generated Tutoring Responses
We are inviting educators and researchers to participate in a study at SUTD evaluating the pedagogical quality of AI-generated tutoring responses. Participants will review 24 pairs of anonymised dialogues for middle-school mathematics to help us understand how AI demonstrates qualities like clarity, scaffolding, and learner support. The online session takes approximately 45–60 minutes.
