Artificial Intelligence in Otolaryngology: Topics in Epistemology & Ethics

被引：0

作者：

Tai, Katie ^{[1
]}

Zhao, Robin ^{[2
]}

Rameau, Anais ^{[2
]}

机构：

[1] New York Presbyterian Hosp, 1300 York Ave, New York, NY 10065 USA

[2] Weill Cornell Med Coll, Sean Parker Inst Voice, Dept Otolaryngol Head & Neck Surg, 240 East 59th St, New York, NY 10022 USA

来源：

OTOLARYNGOLOGIC CLINICS OF NORTH AMERICA | 2024年 / 57卷 / 05期

关键词：

Artificial intelligence ethics; Artificial intelligence governance; Artificial intelligence epistemology; Explainability; Bias; REPRODUCIBILITY;

D O I：

10.1016/j.otc.2024.04.008

中图分类号：

R76 [耳鼻咽喉科学];

学科分类号：

100213 ;

摘要：

The past years have witnessed rapid acceleration of artificial intelligence (AI) development, specifically in machine learning (ML) and large language models (LLMs). AI is the study and development of computer systems that mimic human intelligence in the performance of varied tasks. ML is the subfield of AI in which algorithms are developed to learn from data without being explicitly programmed to make precise predictions based on new data.1 LLMs are natural language processing models based on transformer architecture that can predict the next word in a sequence and to measure

引用

页码：863 / 870

页数：8

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