About Qadmus.AI

Hospitals are adopting AI tools faster than they can decide what those tools know. A model flags a patient as high risk. A note drafts itself. A chatbot answers a family’s question at 2 a.m. Each of these makes a claim about the world, and someone has to decide whether to trust it.

Qadmus asks two questions about that moment. How do we know what an AI system knows? And once we know, how should we act?

The series

I am writing in three parts.

The first part looks at epistemology, the study of how we come to know things. I will cover as many schools of thought as I can, including the poor fits and traditions outside the Western canon, and ask what each one gets right and wrong about AI in academic health systems.

The second part turns to ethics. Deontology, utilitarianism, virtue ethics, and care ethics each offer a different way to judge what we owe patients, staff, and communities when AI enters care.

The third part puts those lenses to work on the AI governance frameworks and laws now taking shape. As those rules change, I will keep writing about them.

Who I am

I am Cadmus Sorrell. I lead a department of hospital chaplains in an academic health system, and I serve on a clinical medical ethics committee. My training spans philosophy, theology, and clinical pastoral education, and I hold an MBA in AI Product Management.

Hospital chaplains spend their days with patients and families when health care makes its hardest calls. AI decisions land in those same rooms. That is the view I write from.

Who this is for

Clinicians, ethicists, health system leaders, data scientists, and anyone who has to decide whether to trust a machine with a patient’s care.

What to expect

New essays arrive by email when I publish them every Tuesday. Subscribing is free.

The views here are my own and do not represent my employer or any organization I work with.