Essays & Articles
Exploring the intersection of AI systems, human decision-making, and business design. Each piece examines how we can build more intelligent, responsible, and impactful products.
Exploring how AI accountability starts with product design, not just regulation. Real-world cases show that the best protection against AI failures is building responsibility into the system from day one.
Most data teams build pipelines. Great data teams build products. This essay explores how shifting from "analytics delivery" to "analytics as a service" transforms both the team culture and business impact.
AI agents promise to revolutionize financial services, but their true cost isn't just compute — it's context. A deep dive into token economics, reasoning loops, and the real ROI of agentic AI systems.
A collection of talks and articles exploring AI accountability, bias, and regulation — with real-world cases such as Air Canada's chatbot liability and McDonald's drive-through AI failures.
These case studies examine where responsibility really lies when AI systems fail, and how organizations can build accountability into their products from the start.
My academic research spans Artificial Intelligence, Intelligent Tutoring Systems, Adaptive Learning, and Machine Learning. My PhD work at the University of Canterbury focused on developing adaptive models for personalized learning experiences.
View Full Publication List on Google ScholarI write about the intersection of AI, data products, and responsible innovation. Connect with me on LinkedIn to get notified of new articles.
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