EFOMP Session
EF - Artificial intelligence (AI): what you need to know, do, and say?
Lectures
1
Chairpersons' introduction
02:00Paddy Gilligan, Dublin / IE, Lucie Sukupova, Prague / CZ
2
Introduction
05:00Peter Joseph Macmahon, Dublin / IE
3
What you need to do: setting up a multidisciplinary AI evaluation service
15:00Mika Kortesniemi, ESPOO / FI
4
What you need to say: ethical, patient, and legal perspective
15:00Mary Kirwan, Dublin / IE
5
What you need to know: setting up a syllabus for AI training
15:00Irene Hernandez-Giron, Dublin / IE
6
Panel discussion: AI: do we know, do or say enough?
08:00Panel discussion: AI: do we know, do or say enough?
2 min
Chairpersons' introduction
Paddy Gilligan, Dublin / Ireland
Lucie Sukupova, Prague / Czechia
Lucie Sukupova, Prague / Czechia
5 min
Introduction
Peter Joseph Macmahon, Dublin / Ireland
15 min
What you need to do: setting up a multidisciplinary AI evaluation service
Mika Kortesniemi, Hus / Finland
1. To learn about the rationale behind such a service.
2. To understand the structure and elements involved.
3. To review learning from the initial set-up in Finland.
2. To understand the structure and elements involved.
3. To review learning from the initial set-up in Finland.
15 min
What you need to say: ethical, patient, and legal perspective
Mary Kirwan, Dublin / Ireland
1. To describe informed consent, legal obligations, patient autonomy and GDPR in AI technology.
2. To understand how this can be delivered in practice.
3. To look toward future trends in this area.
2. To understand how this can be delivered in practice.
3. To look toward future trends in this area.
15 min
What you need to know: setting up a syllabus for AI training
Irene Hernandez-Giron, Dublin / Ireland
1. To learn the principles EFOMP AI syllabus.
2. To learn about the content of an AI syllabus.
3. To become familiar with how its implemented in training.
2. To learn about the content of an AI syllabus.
3. To become familiar with how its implemented in training.
8 min
Panel discussion: AI: do we know, do or say enough?