Trusted Artificial Intelligence: Technique Requirements and Best Practices

被引：0
作者：
Zhang, Tao [1 ,2 ,3 ]
Qin, Yi [1 ,2 ]
Li, Qiang [4 ,5 ]
机构：
[1] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China
[2] Guilin Univ Elect Technol, Guangxi Key Lab Cryptog & Informat Secur, Guilin, Peoples R China
[3] Guangxi Univ Nationalities, Guangxi Key Lab Hybrid Computat & IC Design Anal, Nanning, Peoples R China
[4] Henan Key Lab Network Cryptog Technol, Zhengzhou, Peoples R China
[5] PLA Informat Engn Univ, Zhengzhou, Peoples R China
来源：
2021 IEEE 20TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2021) | 2021年
关键词：
ethics; artificial intelligence; trusted artificial intelligence; technique requirements; best practices;
D O I：
10.1109/TRUSTCOM53373.2021.00207
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The development and adoption of AI have brought numerous problems and potential threats, such as information cocoons, algorithmic collusion, algorithmic bias, privacy, law and ethics problems or issues. To combat these issues, governments all over the world, international organizations and giant tech companies all take actions and reach an agreement that AI should be trusted AI. However, there is no uniform definition on trusted artificial intelligence. In the paper, we make a survey on related works on artificial intelligence principles and ethical guidelines. Then analyze the ethical foundations of trusted artificial intelligence and give a definition on trusted artificial intelligence. We propose specific requirements of trusted artificial intelligence from a technical perspective and give explanations on these technique requirements. Finally, we recommend some best practices to achieve trusted artificial intelligence and promote the responsible use of AI.
引用
收藏
页码：1458 / 1462
页数：5
相关论文
共 22 条
  • [1] Agarwal Alekh, 2018, P MACHINE LEARNING R, V80
  • [2] [Anonymous], Ethically aligned design: a vision for prioritizing human well-being with autonomous and intelligent systems
  • [3] [Anonymous], Microsoft AI Principles
  • [4] [Anonymous], The Montreal Declaration for the Responsible Development of Artificial Intelligence
  • [5] [Anonymous], 2019, Ethics Guidelines for Trustworthy Artificial Intelligence
  • [6] [Anonymous], OECD PRINCIPLES
  • [7] [Anonymous], MODEL ARTIFICIAL INT
  • [8] [Anonymous], ASILOMAR PRINCIPLES
  • [9] [Anonymous], ETHICALLY ALIGNED DE
  • [10] Bellamy R., 2018, ARXIV ABS181001943
123