Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine

Large Language Models (LLMs) are a key component of generative artificial intelligence (AI) applications for creating new content including text, imagery, audio, code, and videos in response to textual instructions. Without human oversight, guidance and responsible design and operation, such generat...

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Vydáno v:EBioMedicine Ročník 90; s. 104512
Hlavní autor: Harrer, Stefan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Netherlands Elsevier B.V 01.04.2023
Elsevier
Témata:
Advanced Basic Science
AI ethics
AI trustworthiness
Artificial Intelligence
Attention
Augmented human intelligence
Delivery of Health Care
Foundation models
Generative artificial intelligence
Humans
Information management
Internal Medicine
Language
Large language models
Medicine
Personal View
AI trustworthiness
AI ethics
Foundation models
Large language models
Augmented human intelligence
Generative artificial intelligence
Information management
ISSN:2352-3964, 2352-3964
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Shrnutí:Large Language Models (LLMs) are a key component of generative artificial intelligence (AI) applications for creating new content including text, imagery, audio, code, and videos in response to textual instructions. Without human oversight, guidance and responsible design and operation, such generative AI applications will remain a party trick with substantial potential for creating and spreading misinformation or harmful and inaccurate content at unprecedented scale. However, if positioned and developed responsibly as companions to humans augmenting but not replacing their role in decision making, knowledge retrieval and other cognitive processes, they could evolve into highly efficient, trustworthy, assistive tools for information management. This perspective describes how such tools could transform data management workflows in healthcare and medicine, explains how the underlying technology works, provides an assessment of risks and limitations, and proposes an ethical, technical, and cultural framework for responsible design, development, and deployment. It seeks to incentivise users, developers, providers, and regulators of generative AI that utilises LLMs to collectively prepare for the transformational role this technology could play in evidence-based sectors.
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ISSN:2352-3964
2352-3964
DOI:10.1016/j.ebiom.2023.104512