03 Oct
2026
2026
AI & Higher Education
We’re Teaching Students to Use AI Before Teaching Them to Disagree With It
Why AI literacy should include the ability to question, verify and reject a convincing answer when it does not make sense.
Home / Perspectives
Perspectives
Academic Perspectives
A space for short essays, reflections and commentary on ideas I encounter through research, teaching and applied technology work.
Why I am writing here
Ideas that sit between research, teaching and practice
Not every useful academic thought belongs in a journal paper. Some ideas begin in a classroom, emerge while supervising a research project, or come from trying to make a technical method work in practice. I want to use this space to write about those ideas in a more direct way: what I am learning, what I am questioning, and how I see different parts of AI, computing and higher education connecting with each other.
Published
Recent Perspectives
Personal academic commentary, grounded in evidence but written less formally than a research paper.
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15 Sep
2026
2026
AI & Higher Education
If We Keep Saying “Use AI Responsibly,” We Should Explain What That Means
Why responsible AI needs to move beyond a policy phrase, and what practical guidance for students and assessment could actually look like.
Themes
What I write about
Short pieces rather than formal research articles.
AI & intelligent systems
Technology, methods and practical use
Reflections on machine learning, computer vision, connected systems and the gap between a technical method and a useful application.
Research practice
Questions behind the research
Notes on research design, experimentation, supervision, explainability, reproducibility and the decisions that shape a research project.
Higher education
Teaching, assessment and supervision
Views on how students learn technical subjects, how assessment changes with AI, and what makes research supervision useful to students.
Academic life
Learning across disciplines
Occasional reflections on academic work, professional development and how research interests evolve over time.