Artificial Intelligence & Machine Learning
Developing foundational knowledge of AI and ML: the principles, applications and capabilities of intelligent systems.
Where business experience meets a growing interest in how people understand, trust and use intelligent systems.
My interest in AI goes beyond its commercial use. I want to understand how intelligent systems shape human decision-making, communication and everyday experience.
I'm building on studies in graphic design and strategic communication, and on work in technology-driven business environments, towards doctoral research in HCI.
Developing foundational knowledge of AI and ML: the principles, applications and capabilities of intelligent systems.
How people understand, trust and use AI-enabled tools in organizational settings.
How communication and visual presentation support understanding and decision-making.
How organizational context shapes the adoption of AI and media intelligence systems.
Trust, transparency, usability and accessibility in intelligent software.
Illustrative research directions, not completed studies.
How can intelligent interfaces communicate decisions and recommendations in ways users understand and trust?
How does interface design influence users' confidence, behavior and adoption of AI-enabled software?
How can user-centered research inform more accessible and intuitive intelligent systems?
Qualifications, current study, tools and what comes next.
Learning projects, research notes and writing will be added as they develop. Follow progress on GitHub.