Welcome to my AI Lab Notebook

This is where I study AI not as a product, but as a system shaping human life.

Over time, three themes have defined my work:

1. AI Governance as Architecture: I build frameworks like the AI OSI Stack, persona architecture, and semantic version control because AI needs scaffolding, not slogans.

2. The Human Meaning Crisis in Machine Time: I explore how AI destabilizes identity, trust, and authenticity as machine speed outpaces human comprehension.

3. Power, Distribution, and Responsibility: I examine who benefits from AI, who is displaced, and how governance, economics, and control shape outcomes.

These pillars guide everything I write here. AI’s future won’t be determined by capability alone, it will be determined by the structures, meanings, and power dynamics we build around it.

Thanks for reading.

Epistemology by Design: My Work with Custom GPTs and the Ethics of Engineered Knowledge

Epistemology by Design: My Work with Custom GPTs and the Ethics of Engineered Knowledge

Custom GPTs do more than execute instructions. They shape the conditions of knowledge itself. Every persona encodes assumptions about what counts as truth and whose voice carries weight. I call this epistemology by design. Done poorly, such systems erase alternatives and limit inquiry. Done well, they scaffold pluralism while still providing direction. The opportunity is to build epistemic partners that expand agency. The risk is dependence on voices that sound objective but are not. When I design these systems, I ask a simple question: what kind of world am I training myself, and others, to inhabit?

Read More
Why We Need Outsider Voices in the AI Conversation

Why We Need Outsider Voices in the AI Conversation

The AI conversation is dominated by insiders. Corporate and academic voices hold the microphone. That dominance creates blind spots and weakens public trust. Outsiders bring the sharp questions insiders avoid. They bring lived experience and values such as fairness, usability, and dignity. If AI is to become legitimate, these voices cannot be invited late. They must be part of design from the beginning. True trust in AI will not be built by insiders alone.

Read More