Artificial Intelligence in Education: From code to curriculum

This collaboration is more than just a personal journey; it is a demonstration of how interdisciplinary teaching can reimagine the educational experience and equip students with future-fit skills.

Traditionally, risk management and insurance curricula are filled with models, frameworks and case studies, which are all vital, yes, but often abstract. By integrating artificial intelligence into the curriculum, we are making these concepts tangible. Our students are not just learning about risk and insurance; they are building AI bots that identify, assess, underwrite and suggest real-world strategies in different situations.

Together, my husband and I designed a lecture for Milpark’s Postgraduate in Risk Management, where students will train an AI bot that mimics the logic behind commercial underwriting. These bots are then put to the test to see how the students' AI underwriter performs.

This co-teaching experience has illuminated how powerful it is when two worlds, technology and financial sciences, merge. As a developer, my husband brings precision and logic that complement my own teaching approach, grounded in creativity and real-world insurance applications.

Our different lenses enrich the students' learning journey: I guide them through regulatory frameworks, underwriting criteria, and the language of risk, while he walks them through logic flows, APIs, and machine learning scripts that are so vital for the future of their roles.

Our classroom is no longer a lecture hall but a lab of experimentation.

This initiative is deeply rooted in inquiry-based and project-based learning pedagogies. Students begin with a problem statement: How might an insurer use AI to improve underwriting? From there, they work in teams, blending domain expertise with basic AI development skills to build a functional prototype. They ask questions, test assumptions, and iterate.

The process empowers students to take ownership of their learning and fosters soft skills (like collaboration, adaptability and critical thinking) that are essential to any career in risk and insurance.

The insurance sector is evolving. Insurtech startups are challenging legacy systems, and AI is playing a growing role in underwriting, claim processing, fraud detection, and even personalised risk assessments. Yet many graduates entering the field lack the digital fluency to thrive in this environment. Our AI bot project aims to close that gap by providing students with hands-on experience that blends insurance theory with emerging technologies.

Students leave not just with knowledge, but with a portfolio-worthy project that demonstrates their ability to think across disciplines.

What started as a family collaboration is becoming a model we hope to replicate in other modules and qualifications. Whether it's integrating AI, blockchain or parametric insurance simulations, the key is to bring real-world tools into the virtual classroom in a way that is both meaningful and transformative.

Our journey together in the classroom has also been a reminder of what education can be: a shared space for curiosity, creativity and co-creation. And in that space, everyone learns, including teachers.

At the heart of this initiative is a simple but powerful idea: education must evolve with the world it prepares students for. By combining technology with core risk and insurance principles, we’re not just teaching — we’re transforming the learning experience into something hands-on, future-focused, and deeply relevant.

If you're ready to be part of a new wave of professionals who understand both the language of risk and the logic of innovation, apply for the Risk and Insurance programme at Milpark Education. Gain the skills, confidence, and experience to lead in a rapidly changing industry.