The Journal
Essays
Long-form writing on AI, philosophy, psychology, and systems thinking.
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The AI Ethics Officer Role Is a Systems Design Problem
AI ethics officers fail when positioned as compliance gatekeepers. The role succeeds when restructured as a cross-functional architecture position embedded in engineering.
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Data Privacy Is Infrastructure, Not Policy
Replacing policy documents with 6 engineering controls reduced privacy violations by 91% across AI systems processing 2.4 million records monthly. Privacy must be built, not written.
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The Trolley Problem Is the Wrong Framework for AI Ethics
The trolley problem was designed for individual moral agents. AI systems are sociotechnical institutions. Applying the wrong framework prevents the right questions from being asked.
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The Data Engineering Career Ladder Is Missing a Rung
Most data engineering ladders have two rungs: junior and senior. The 3-to-5-year gap between them lacks structure and produces 40% mid-career attrition.
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Popper’s Falsifiability and Your A/B Test
A hypothesis that cannot fail is not a hypothesis. Popper's falsifiability criterion reveals why most A/B tests produce confirmation, not knowledge.
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Ethics of AI in Healthcare Demands Systems Thinking
Model-focused audits miss 58% of ethical risks in clinical AI. Healthcare AI ethics demands systems thinking across EHR integration, clinician workflow, consent infrastructure, and failure cascading.
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Automation as a form of self-discipline: Building systems that hold you accountable
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The Handoff Problem: Why Projects Fail at Team Boundaries
Analyzing 22 projects found 68% of cross-team quality issues originated in handoffs. Structured protocols reduced boundary defects by 57% and rework by 43%.
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Epistemic Injustice in Technical Interviews
Epistemic injustice occurs when knowledge is discounted or unrecognizable due to prejudice or narrow frameworks. Technical interviews are structured sites of both testimonial and hermeneutical injustice.
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Religious Anti-Realism and Engineering Temperament
The engineering mindset demands testable claims. Intellectual honesty demands acknowledging that empiricism has boundaries, not that everything beyond them is nothing.