Cybersecurity in the generative artificial intelligence era

被引:0
作者
Teo, Zhen Ling [1 ]
Quek, Chrystie Wan Ning [1 ,2 ]
Wong, Joy Le Yi [1 ,2 ]
Ting, Daniel Shu Wei [1 ,2 ]
机构
[1] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore
[2] Duke NUS Med Sch, Singapore, Singapore
来源
ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY | 2024年 / 13卷 / 04期
基金
英国医学研究理事会;
关键词
Generative Artificial Intelligence; ChatGPT; Cybersecurity; Privacy risks; Large language model;
D O I
10.1016/j.apjo.2024.100091
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Generative Artificial Intelligence (GenAI) are algorithms capable of generating original content. The ability of GenAI to learn and generate novel outputs alike human cognition has taken the world by storm and ushered in a new era. In this review, we explore the role of GenAI in healthcare, including clinical, operational, and research applications, and delve into the cybersecurity risks of this technology. We discuss risks such as data privacy risks, data poisoning attacks, the propagation of bias, and hallucinations. In this review, we recommend risk mitigation strategies to enhance cybersecurity in GenAI technologies and further explore the use of GenAI as a tool in itself to enhance cybersecurity across the various AI algorithms. GenAI is emerging as a pivotal catalyst across various industries including the healthcare domain. Comprehending the intricacies of this technology and its potential risks will be imperative for us to fully capitalise on the benefits that GenAI can bring.
引用
收藏
页数:6
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