UM
Affiliated with RCfalse
Status已發表Published
Robots and Traditional Chinese Medicine in Portuguese Criminal Law
Iong, Man Teng
2020-12-01
Source PublicationE.Tec Yearbook - Artificial Intelligence & Robots
ISSN2184-707X
Pages39-51
Abstract

The technology is developing in such a way that we cannot imagine normally. Nowadays, Artificial Intelligence (AI) plays an important role in many areas of human knowledge, such as in medicine. It is a bridge relating robots with medicine and creates the so-called “robot doctors” which can be applied either in conventional medicine or in Traditional Chinese Medicine (TCM). The robot doctors can be autonomous or not. The former ones act as human beings given that they are able to learn new experiences and knowledge, when the latter ones only follow the programmers or producers’ pre-setting and cannot act with autonomous behaviors. This paper analyses the current and future development of AI in TCM, and the possibility of criminal punishment of TCM robot doctors in Portugal.

KeywordArtificial Intelligence Robot Doctors Traditional Chinese Medicine Portuguese Criminal Law
URLView the original
Language英語English
The Source to ArticlePB_Publication
PUB ID56564
Fulltext Access
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorIong, Man Teng
AffiliationUniversity of Macau, Faculty of Law
First Author AffilicationFaculty of Law
Corresponding Author AffilicationFaculty of Law
Recommended Citation
GB/T 7714
Iong, Man Teng. Robots and Traditional Chinese Medicine in Portuguese Criminal Law[J]. E.Tec Yearbook - Artificial Intelligence & Robots,2020:39-51.
APA Iong, Man Teng.(2020).Robots and Traditional Chinese Medicine in Portuguese Criminal Law.E.Tec Yearbook - Artificial Intelligence & Robots,39-51.
MLA Iong, Man Teng."Robots and Traditional Chinese Medicine in Portuguese Criminal Law".E.Tec Yearbook - Artificial Intelligence & Robots (2020):39-51.
Files in This Item: Download All
File Name/Size Publications Version Access License
e_tek_yearbook_2020_(6314KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Iong, Man Teng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Iong, Man Teng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Iong, Man Teng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: e_tek_yearbook_2020_FINAL.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.