Conversations/Path C
Path: clinic and care
A season of 4–6 gatherings · Clinicians, patients, carers
Care is where a wrong score can harm a patient. Talk about health, dignity, and bias as one conversation, not three committees.
Opening question
When has a system in care ranked someone we are responsible for, and who was allowed to question it?
To hold together
- What must remain a human judgment even if a model is faster?
- Whose data trained the tool that now sits in the room?
- How do we speak about benefit without hiding who is left out?
A practice
Read the WHO guidance alongside one concern in Health, Safety & Care. Name one practice you will test, and one you will refuse, this month.
Concerns to name in the room
Principles to sit beside the facts
Dignity
Every person is a protagonist, not a data point.
Service
Who is served and who benefits are not always the same.
Prudence
Small, reversible steps before irreversible ones.
Accountability
Name who holds the consequence before it is needed.
Read or watch beforehand
One piece is enough. Save the rest for later.
Eric Topol
Cardiologist and writer · Scripps Research
Follows medical AI as a clinician who still holds the patient in view. Useful for groups in health systems who need neither hype nor refusal.
World Health Organization
Guidance on large multimodal models
Institutional guidance for health workers and ministries on generative models in care, written to be used rather than admired.
Joy Buolamwini
Founder · Algorithmic Justice League
Showed that commercial face analysis failed more often on darker-skinned women, and built a public practice of auditing systems that claim to see us.