Abbie Brazenall

About Abbie Brazenall

Artificial intelligence is technology designed to mimic aspects of human intelligence - but the way we teach, deploy, and talk about it often ignores how humans actually think and learn.

I work at the intersection of AI and psychology, translating complex technical concepts into human-centred explanations that make AI feel less overwhelming, more intuitive, and far more usable in real life.

My background spans psychology, human behaviour, and neuro-linguistic programming (NLP), alongside hands-on experience implementing and teaching AI systems. This allows me to explain AI not as abstract technology, but as a system that interacts with human cognition, habits, bias, fear, and trust.

I explore questions such as:
Why do people intellectually understand AI, yet still avoid using it?
Why does AI adoption often stall after the tools are deployed?
What happens when we design AI systems for efficiency but forget learning, confidence, and meaning?
How can understanding the human brain make AI education and adoption dramatically more effective?

I focus on reframing AI in ways that align with how humans naturally process information - using psychological models, everyday metaphors, and behavioural insights rather than technical jargon. This approach helps individuals and organisations move from passive awareness of AI to confident, practical use.

My aim is not to promote tools or hype. It’s to make AI understandable as a human experience - one shaped by perception, emotion, identity, and behaviour - so that it becomes something people can actually work with, rather than something they quietly resist.

This perspective resonates particularly well with audiences who are curious about AI but feel intimidated, fatigued by hype, or unsure how it fits into their real work and lives.