Courses

The Irreducibly Human curriculum: a graduate series on what AI can and can't do.

Prompt engineering, model limitations, hallucination detection, and the rhetorical gap between human intent and machine output.

Counterfactual thinking, interventionist reasoning, and the kind of "why" questions that statistical models cannot answer.

Moral reasoning under uncertainty, value pluralism, and the limits of rule-based ethics.

Creative process, aesthetic judgment, conceptual blending, and the difference between novelty and genuine originality.

Presence, improvisation, emotional attunement, and the embodied skills that make mentorship effective.

The five supervisory capacities: plausibility auditing, problem formulation, tool orchestration, interpretive judgment, and executive integration.

A practitioner's guide for experiential learning — from design failure diagnosis through domain field guides.