Residential College | false |
Status | 已發表Published |
Artificial Intelligence and Traditional Chinese Medicine in Portuguese Criminal Law | |
Iong, Man Teng | |
2020-12 | |
Source Publication | E.Tec Yearbook - Artificial Intelligence & Robots |
ISSN | 2184-707X |
Pages | 39-51 |
Abstract | The technology is developing in such a way that we cannot imagine normally. Nowadays, Artificial Intelligence [AI], especially when combined with Robotic, plays an important role in many areas of human knowledge, such as in medicine. The combination between AI and Robotic creates the so-called “AI Robot” which can be applied either in conventional medicine or in Traditional Chinese Medicine [TCM]. The AI technology can be fully 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 development of AI in TCM, the important role of intelligent TCM during pandemic emergency, and the criminal punishment of TCM with AI technology in Portugal. |
Keyword | Artificial Intelligence Robot Traditional Chinese Medicine Covid-19 Portuguese Criminal Law |
URL | View the original |
Language | 英語English |
Document Type | Journal article |
Collection | University of Macau DEPARTMENT OF MACAO LEGAL STUDIES |
Affiliation | University of Macau, Faculty of Law |
First Author Affilication | Faculty of Law |
Recommended Citation GB/T 7714 | Iong, Man Teng. Artificial Intelligence and Traditional Chinese Medicine in Portuguese Criminal Law[J]. E.Tec Yearbook - Artificial Intelligence & Robots, 2020, 39-51. |
APA | Iong, Man Teng.(2020). Artificial Intelligence and Traditional Chinese Medicine in Portuguese Criminal Law. E.Tec Yearbook - Artificial Intelligence & Robots, 39-51. |
MLA | Iong, Man Teng."Artificial Intelligence and Traditional Chinese Medicine in Portuguese Criminal Law".E.Tec Yearbook - Artificial Intelligence & Robots (2020):39-51. |
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Man Teng Iong_e_tek_(383KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download |
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