While we, as individuals, recognise our limitations and biases, what about our AI systems?

With the expansion of AI technologies and algorithms into fields like UI personalisation, are we prepared to advance further? Or are we risking a widespread failure?

In this talk, we'll be looking at issues with algorithmic user profiling and how this can lead to marginalisation and poor user experiences and what to do about it.

AI security resources often involve long lists of theoretical threats but how do you know how to prioritize them? How should you be categorizing them in your head for simplification?

That's the purpose of this talk and in addition we will be going deep into the future of AI and AI security as it relates to agents from the viewpoint of an AI agent and security engineer.

Organizations face a significant challenge in balancing the rapid pace of AI innovation with the critical need for risk management and trust. While projections for AI investment are high, with some estimates suggesting it could account for 10-12% of technology budgets, a more cautious and critical approach is necessary.

Andy's talk will explore why firms should resist the pressure to blindly adopt AI and instead treat it like any other new technology investment. We'll discuss the importance of being agile while also maintaining a strong focus on managing risk, building trust, and critically evaluating the real-world implications of AI implementation before committing significant resources and how to differentiate ourselves, beyond the GenAI hype.