AI Ethics

Gao Yilan, Zhang Rui, Li Xuelong, Artificial Intelligence Ethical Computing, Chinese Science: Information Science, 2023, doi: 10.0000/SSI-2023-0076.While artificial intelligence brings technological changes and improvement in production efficiency, it has also aroused more practical ethical concerns, and its impact on society should not be underestimated. How to build a reliable intelligent system and how to deal with ethical problems brought by technology are a must-answer question for the future development of technology. With the continuous development and socialization of artificial intelligence technology, key ethical governance issues are presented in front of us. It is crucial to make various ethical demands practical. In recent years, both the academic and industrial circles have begun to pay attention to and discuss the issue of AI ethical governance, and have also made preliminary progress in the research of ethical norms. However, due to the abstractness of AI ethics, how to quantify the ethics of intelligent systems is still an unknown problem. Professor Li Xuelong

Gao Yilan, Zhang Rui, Li Xuelong, Artificial Intelligence Ethical Computing, Chinese Science: Information Science, 2023, doi: 10.0000/SSI-2023-0076.While artificial intelligence brings technological changes and improvement in production efficiency, it has also aroused more practical ethical concerns, and its impact on society should not be underestimated. How to build a reliable intelligent system and how to deal with ethical problems brought by technology are a must-answer question for the future development of technology. With the continuous development and socialization of artificial intelligence technology, key ethical governance issues are presented in front of us. It is crucial to make various ethical demands practical. In recent years, both the academic and industrial circles have begun to pay attention to and discuss the issue of AI ethical governance, and have also made preliminary progress in the research of ethical norms. However, due to the abstractness of AI ethics, how to quantify the ethics of intelligent systems is still an unknown problem. Professor Li Xuelong

As a scientific research field that attempts to study, imitate and expand human intelligence, artificial intelligence technology has been accompanied by deep technical ethical debates since its birth.

As a scientific research field that attempts to study, imitate and expand human intelligence, artificial intelligence technology has been accompanied by deep technical ethical debates since its birth.

The improvements in massive data, basic computing power, intelligent algorithms, special hardware and other aspects have prompted the booming development of the artificial intelligence industry, and various technologies have continuously reshape human living habits and production methods. The application breadth of related technologies is constantly expanding and the depth is constantly deepening, which has given birth to various cross-fusion fields including AI for [1], quantum machine learning research [2], etc. New

The improvements in massive data, basic computing power, intelligent algorithms, special hardware and other aspects have prompted the booming development of the artificial intelligence industry, and various technologies have continuously reshape human living habits and production methods. The application breadth of related technologies is constantly expanding and the depth is constantly deepening, which has given birth to various cross-fusion fields including AI for [1], quantum machine le

As a scientific research field that attempts to study, imitate and expand human intelligence, artificial intelligence technology has been accompanied by deep technical ethical debates since its birth.

The improvements in massive data, basic computing power, intelligent algorithms, special hardware and other aspects have prompted the booming development of the artificial intelligence industry, and various technologies have continuously reshape human living habits and production methods. The application breadth of related technologies is constantly expanding and the depth is constantly deepening, which has given birth to various cross-fusion fields

The improvements in massive data, basic computing power, intelligent algorithms, special hardware and other aspects have prompted the booming development of the artificial intelligence industry, and various technologies have continuously reshape human living habits and production methods. The application breadth of related technologies is constantly expanding and the depth is constantly deepening, which has given birth to various cross-fusion fields including AI for [1], quantum machine lear

As a scientific research field that attempts to study, imitate and expand human intelligence, artificial intelligence technology has been accompanied by deep technical ethical debates since its birth.

The improvements in massive data, basic computing power, intelligent algorithms, special hardware and other aspects have prompted the booming development of the artificial intelligence industry, and various technologies have continuously reshape human living habits and production methods. The application breadth of related technologies is constantly expanding and the depth is constantly deepening, which has given birth to various cross-fusion fields including AI for [1], quantum machine lear

As a scientific research field that attempts to study, imitate and expand human intelligence, artificial intelligence technology has been accompanied by deep technical ethical debates since its birth.