<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Artificial Intelligence (AI) has an increasing role to play in medical education and has great potential to revolutionize health professional education systems overall. However, this is accompanied by substantial questions concerning technical and ethical risks which are of particular importance because the quality of medical education has a direct effect on physical and psychological health and wellbeing. This article establishes an overarching distinction of AI across two typological dimensions, functional and humanistic. As indispensable foundations, these are then related to medical practice overall, and forms of implementation with examples are described in both general and medical education. Increasingly, the conditions for successful medical education will depend on an understanding of AI and the ethical issues surrounding its implementation, as well as the formulation of appropriate guidelines by regulatory and other authorities. Within that discussion, the limits of both narrow or Routine AI (RAI) and artificial general intelligence or Decision AI (DAI) are examined particularly in view of the ethical need for Trustworthy AI (TAI) as part of the humanistic dimension. All stakeholders, from patients to medical practitioners, managers, and institutions, need to be able to trust AI, and loss of confidence could be catastrophic in some cases.</p>
</abstract>

Artificial Intelligence (AI) has an increasing role to play in medical education and has great potential to revolutionize health professional education systems overall. However, this is accompanied by substantial questions concerning technical and ethical risks which are of particular importance because the quality of medical education has a direct effect on physical and psychological health and wellbeing. This article establishes an overarching distinction of AI across two typological dimensions, functional and humanistic. As indispensable foundations, these are then related to medical practice overall, and forms of implementation with examples are described in both general and medical education. Increasingly, the conditions for successful medical education will depend on an understanding of AI and the ethical issues surrounding its implementation, as well as the formulation of appropriate guidelines by regulatory and other authorities. Within that discussion, the limits of both narrow or Routine AI (RAI) and artificial general intelligence or Decision AI (DAI) are examined particularly in view of the ethical need for Trustworthy AI (TAI) as part of the humanistic dimension. All stakeholders, from patients to medical practitioners, managers, and institutions, need to be able to trust AI, and loss of confidence could be catastrophic in some cases.

Artificial intelligence in medical education: Typologies and ethical approaches

Ethics & Bioethics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Artificial intelligence in medical education: Typologies and ethical approaches"}

Artificial Intelligence (AI) has an increasing role to play in medical education and has great potential to revolutionize health professional education systems...

Artificial intelligence in medical education: Typologies and ethical approaches

Data publikacji: 06 cze 2024

Zakres stron: 96 - 113

DOI: https://doi.org/10.2478/ebce-2024-0004

Słowa kluczowe
artificial intelligence typology, artificial intelligence in medicine, ethics, bioethics, medical education, health professional education

© 2024 Agnieszka Pregowska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Artificial intelligence in medical education: Typologies and ethical approaches

Data publikacji: 06 cze 2024

Zakres stron: 96 - 113

DOI: https://doi.org/10.2478/ebce-2024-0004

Słowa kluczoweartificial intelligence typology, artificial intelligence in medicine, ethics, bioethics, medical education, health professional education

© 2024 Agnieszka Pregowska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
artificial intelligence typology, artificial intelligence in medicine, ethics, bioethics, medical education, health professional education