Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
"Integrating Artificial Intelligence Ethics Education into the Undergraduate Medical Curriculum - a Scoping Review." (Preprint)
2
Zitationen
2
Autoren
2024
Jahr
Abstract
<sec> <title>BACKGROUND</title> Artificial intelligence (AI) is playing an integral and revolutionary role in various facets of medicine. Clinical proficiency and ethical competency are deeply interlinked and a reform in the undergraduate medical curriculum to integrate AI ethics is imperative to equip medical students with the confidence and essential competencies to ensure the safe and ethical use of AI tools. </sec> <sec> <title>OBJECTIVE</title> This scoping review aimed to map the key concepts related to the integration of AI ethics into the undergraduate medical curriculum, including the rationale for curricular reform, recommended strategies, and challenges involved, whilst identifying gaps in the literature. </sec> <sec> <title>METHODS</title> The method employed was based on Arksey and O’Malley’s framework for scoping reviews. A literature search was conducted using well-established search engines and the grey literature was also searched. Articles were screened and selected according to eligibility criteria, which included reviews in the English language published between 2013 and 2023. Data was extracted using an iterative process, followed by thematic analysis. </sec> <sec> <title>RESULTS</title> Most reviews addressed the importance of AI ethics integration in medical education, simultaneously highlighting the current gap in the curriculum. Curricular reform was addressed in several reviews as were pedagogical considerations, most reviews favouring the longitudinal integration of AI ethics. Finally, many reviews addressed the challenges and barriers that such curricular reform faces. </sec> <sec> <title>CONCLUSIONS</title> The concept of medical professionalism needs to encompass the ethical implications of AI. Whilst many studies defined the desired competencies related to AI ethics in the curriculum, there is a need for a structured, validated framework, supported by high quality research. There is a paucity in the literature with regards to identification of learning outcomes as well as assessment and accreditation procedures, which also need to adapt. Overcoming the challenges facing curricular change requires the engagement and commitment of all stakeholders, with medical students also playing a role in this reform. </sec>
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.476 Zit.