Medical AI Ethics and Philosophy
Medical AI ethics and philosophy at ISMAI 2026 examines what must remain visible when clinical judgement, responsibility and care are shared between clinicians, institutions and algorithmic systems. The topic includes autonomy, dignity, consent, uncertainty, equity, trust and the doctor-patient relationship.
Official ISMAI 2026 event facts
Official- Event
- International Symposium on Medical AI
- Edition
- ISMAI 2026
- Dates
- 3-4 December 2026
- Venue
- Aula Magna CTO, AOU Careggi
- City
- Florence, Italy
- Organiser
- International Society of Medical AI
- Format
- In-person scientific symposium
How ISMAI 2026 approaches this theme
The Florence symposium keeps ethics and philosophy as a scientific thread across the programme, not as an appendix.
Sessions consider what changes for consent, autonomy and dignity when algorithmic systems influence a clinical decision.
Discussion addresses equity, trust and the ways in which the doctor-patient relationship should be protected as AI tools enter routine care.
Relevant programme session
This theme is developed in Session 4: Philosophy of Medical AI of the ISMAI 2026 scientific programme. Sessions run under Chatham House rules where clinical case material is discussed, so that presentations remain candid without compromising confidentiality.
Relevant abstract tracks
Authors submitting original work related to this theme should consider the following tracks. Full track scopes and review criteria are published on the call for abstracts.
- Ethics, Equity and Public Trust
- Philosophy of Medicine and AI
- Clinical Judgement and Human Decision-Making
- AI Governance and Regulation
Who this topic is for
- Clinicians reflecting on the ethical dimensions of AI-supported care.
- Ethicists, legal scholars and patient representatives working on medical AI.
- Educators and healthcare leaders shaping institutional values around AI.
Continue from this topic
Read alongside the programme and the abstract call, or explore how the theme is treated for a specific audience.
Other medical AI topics
Last updated: 1 July 2026