AI Alignment Problem

The AI Alignment Problem asks how we can ensure intelligent systems pursue goals consistent with human values and intentions, avoiding harm as capabilities expand.

Prompt Engineering Ethics

Prompt Engineering Ethics defines the moral boundaries of human–AI interaction — ensuring that intent, bias, and responsibility are consciously designed into every prompt.

Information Theory: From Noise to Knowledge

Shannon’s Information Theory models communication as a measurable loop — encoding, transmission, decoding, and feedback — reducing uncertainty and preserving meaning amid noise.

Visibility of System Status: Feedback as trust

A usability heuristic principle that requires clear, timely feedback on what a system is doing and how it’s progressing, using communication to keep users informed and reduce uncertainty.

Progress as a Product: Rethinking Digital Transformation

A male office professional sits at his desk surrounded by glowing data dashboards, resting his head on his hand in quiet frustration as he stares at the screen.

Digital transformation succeeds or fails on trust. When progress is designed for optics instead of empathy, internal users build workarounds faster than systems can catch them. Progress as a Product explores how UX Strategy restores belief by designing the experience of work itself.