Technical Countermeasures for Security Risks of Artificial General Intelligence

Autor: Liu Yuqing, Zhang Yuhuai, Duan Peiqi, Shi Boxin, Yu Zhaofei, Huang Tiejun, Gao Wen
Jazyk: čínština
Rok vydání: 2021
Předmět:
Zdroj: 中国工程科学, Vol 23, Iss 3, Pp 75-81 (2021)
Druh dokumentu: article
ISSN: 2096-0034
DOI: 10.15302/J-SSCAE-2021.03.005
Popis: Human beings might face significant security risks after entering into the artificial general intelligence (AGI) era. By summarizing the difference between AGI and traditional artificial intelligence, we analyze the sources of the security risks of AGI from the aspects of model uninterpretability, unreliability of algorithms and hardware, and uncontrollability over autonomous consciousness. Moreover, we propose a security risk assessment system for AGI from the aspects of ability, motivation, and behavior. Subsequently, we discuss the defense countermeasures in the research and application stages. In the research stage, theoretical verification should be improved to develop interpretable models, the basic values of AGI should be rigorously constrained, and technologies should be standardized. In the application stage, man-made risks should be prevented, motivations should be selected for AGI, and human values should be given to AGI. Furthermore, it is necessary to strengthen international cooperation and the education of AGI professionals, to well prepare for the unknown coming era of AGI.
Databáze: Directory of Open Access Journals