AI Strategy & Responsible Adoption
Advising teams on how to use AI in ways that are practical, values-aligned, and attentive to trust, confidentiality, accuracy, workflow, and human responsibility.
AI strategy · responsible adoption · research · writing
Helping institutions think clearly about AI, language, values, and change.
I work with the human and organizational questions AI makes urgent: how we write, decide, relate, govern, build systems, define responsibility, and preserve care and judgment under technological change.
AI under uncertainty
Human-centered adoption
Language and legitimacy
Values to practice
Institutional sensemaking
Strategic research and writing
What I do
From complexity to language, structure, and action.
My work helps organizations make sense of AI and institutional change: not only what tools can do, but what they change in relationships, workflows, authority, trust, and responsibility.
Strategic Research & Writing
Turning complex questions into clear briefs, essays, frameworks, narratives, proposals, and public-facing language.
Organizational Sensemaking
Helping teams move from ambiguity to shared understanding through stakeholder translation, values clarification, and practical systems.
Language, Values & Institutional Change
Working with the human side of change: how people communicate, trust one another, share judgment, navigate authority, and preserve care and context in changing systems.
AI is not only a technical transformation. It is changing the stories institutions tell about intelligence, value, work, care, and responsibility.
Frameworks
Practical tools for thinking under uncertainty.
The Human Judgment Audit
Where does AI support human judgment? Where does it replace it? Where does it simulate it? Where might it obscure responsibility?
The Values-to-Practice Map
A way to translate values into workflows, policies, roles, incentives, language, review practices, and accountability structures.
The Case for Action
A framework for connecting mission, values, evidence, relationships, urgency, and outcomes into language people can trust and act on.
VERSIC
A sensemaking framework for responsible decision-making under uncertainty: Values, Evidence, Responsibility, Systems, Interpretation, and Coherence.
Writing & research
Essays and applied notes
Current work explores AI, language, values, relationships, institutional responsibility, and what happens when inherited categories begin to shift.
AI Under Conceptual Uncertainty
How should institutions make decisions when categories like intelligence, agency, authorship, care, personhood, and responsibility are unstable?
The Human Judgment Audit
A practical way to examine where AI supports, replaces, simulates, or obscures human judgment in organizational work.
From Values to Workflow
What responsible AI adoption actually requires: not only policies, but trust, communication, habits, review structures, and human relationships.
Sentience, Personhood & Projection
How to reason about claims of AI mind, care, agency, or rights without collapsing into either hype or dismissal.
Humanity + AI
A developing forum for the human future.
Humanity + AI explores the intersection of humanities, philanthropy, artificial intelligence, language, values, and the human future.
The project brings together questions that are too often separated: technology and meaning, funding and values, language and power, institutions and imagination, human judgment and artificial intelligence.
humanities
philanthropy
artificial intelligence
language
values
the human future
About
A humanities-trained strategist for institutional change.
I am a writer, strategist, researcher, and advisor working at the intersection of AI, language, values, responsible adoption, and organizational change.
My background brings together comparative literature, development strategy, philanthropy, organizational design, teaching, and public-interest work. I earned a PhD in Comparative Literature from Yale and have taught at Yale, Stanford Continuing Studies, and other institutions.
Before my work on AI, I spent years teaching and writing about literature, language, Shakespeare, tragedy, comedy, interpretation, and the strange difficulty of knowing ourselves and one another. That background shapes how I approach artificial intelligence.
My practical experience includes proposal and grant strategy, philanthropic narrative, stakeholder communication, knowledge management, organizational systems, and public-interest work across behavioral health, climate, education, Indigenous-led regeneration, and resilience-focused initiatives.
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