Questions that
move us forward.

My work considers how leaders make sense of AI, govern its use and create the conditions for responsible innovation. I am particularly interested in educational leadership, algorithmic authority, human-AI collaboration and the ethical tensions that arise when institutions adopt emerging technologies.

This research connects leadership and innovation with questions of responsibility, inclusion, equity and meaningful human participation.

My work explores how generative AI is changing teaching, curriculum, assessment and the evidence we use to determine whether learning has occurred. Rather than treating AI primarily as a problem of detection or academic misconduct, I examine how education can make human reasoning, judgement, creativity and reflection more visible.

This area includes my work on AI-enabled assessment, educational leadership and the Person, Process and Product Framework.

My work examines how intelligent technologies influence professional identity, human judgement, workplace relationships and perceptions of individual value. I am particularly interested in the less visible human effort required to interpret, verify and take responsibility for AI-generated outputs.

This research contributes to wider conversations about the future of work, human-AI collaboration and the capabilities people will need as cognitive tasks become increasingly automated