As AI continues to shape industries, responsible AI governance remains a pressing concern. Yolanda Hamblen and Pauline Norstrom explore the future of AI
In 1968, a plastic lid from a pack of Smarties washed up on a beach. In 1979, another followed. Both, despite the passing decades, remained nearly pristine—stark reminders that when these were first designed, no one seemed to ask, what happens to them in the future? They simply made them, oblivious to the consequences.
Fast forward to today, and we are making the same mistakes—not with plastic, but with artificial intelligence. Ethical AI is treated like an afterthought, a frustrating inconvenience rather than a necessity. We are in the midst of a technological revolution, yet there are no legal guardrails in place in the UK.
Why? Because much like those Smarties lids, people either don’t think far enough ahead or don’t care to.
This month, I hand over my column to Pauline Norstrom, CEO of a world-renowned AI strategy, training and governance company, who tackles this critical issue: Why do some fear Responsible AI?
The journey ahead is challenging, but ignoring the need for responsible AI is as reckless as the industries that once dismissed the impact of non-biodegradable plastics. The consequences may not wash up on a beach – but AI’s digital pollution will catch up with us – if we do not act.
A Letter from My Future Self: A World Transformed by AI
Dear Past Me,
It’s incredible looking back from the mid-2030s from where I stand now. The AI-driven future we envisioned has materialised, not just in security, but across industries, reshaping business, critical infrastructure, and society itself. AI governance has matured into an enabler rather than a perceived constraint, and AI literacy is now embedded in business from the top down as a standard way of doing things. The fears of the past have been replaced by confidence, clarity, and control.
AI as the Backbone of Industry
In 2025, AI adoption remained fragmented, slowed by regulatory uncertainty. Today, AI is the backbone of physical operations, seamlessly integrated into decision-making, risk management, and automation. Agentic AI has become the norm, adapting to dynamic environments and optimising operations across multiple domains, data sources and protocols. The days of isolated, narrow AI applications are long gone – AI systems now interact, self-optimise, and enhance human decision-making in ways we once thought impossible.
How Next-Generation Augmented Reality (AR) Systems Transformed Situational Awareness
One of the most pivotal advancements was next-generation augmented reality (AR) systems technology, which redefined situational awareness. Once an experimental AR-driven system, it is now fundamental in security, logistics, and emergency response. The integration of real-time AI analysis with augmented reality overlays has given professionals an unprecedented ability to see, predict, and react to threats before they materialise.
- Security operations now benefit from real-time environmental mapping, automatically detecting anomalies and guiding responses.
- Urban infrastructure dynamically adapts based on AI-generated insights, optimising everything from transport flows to crowd safety.
- Emergency response teams operate with enhanced coordination, visualising risks in real time through AR interfaces.
This evolution has changed the way we understand and protect people, assets, and environments. What was once reactive is now entirely predictive….
To read the full column from IFPO, see our March issue here.
