<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the context of today’s fast-reading development of artificial intelligence (AI), the governance model supported by AI technology has become the focus of global attention. This study focuses on the AI governance model based on ethical norms in the construction of the rule of law, with the aim of providing research support for effective AI governance. In this paper, the ethical core and mechanism of AI governance in the soil of the rule of law are studied under the premise of the rule of law, and a risk governance identification model based on the DEMATEL-ISM model is constructed to analyze the risk factors of AI governance. Then, the ethical norms of AI governance are analyzed in depth, and the path of improving the ethical norms of AI governance is explored through the fsQCA method, and the AI ethical norms guidelines are constructed under the basic guideline of adhering to human-centeredness. Finally, the implementation of AI governance ethical norms is carried out, and under AI governance, the average correct rate of event classification and processing accuracy is above 85%, 207 resolved events are added every month, and the cumulative number of resolved events is increased by 2,486. At the same time, the risk factor risk can be seen, proving that the governance model under the participation of AI can effectively improve the efficiency of governance to promote the development and application of AI governance model provides a certain theoretical basis and reference value.</p>
</abstract>

In the context of today’s fast-reading development of artificial intelligence (AI), the governance model supported by AI technology has become the focus of global attention. This study focuses on the AI governance model based on ethical norms in the construction of the rule of law, with the aim of providing research support for effective AI governance. In this paper, the ethical core and mechanism of AI governance in the soil of the rule of law are studied under the premise of the rule of law, and a risk governance identification model based on the DEMATEL-ISM model is constructed to analyze the risk factors of AI governance. Then, the ethical norms of AI governance are analyzed in depth, and the path of improving the ethical norms of AI governance is explored through the fsQCA method, and the AI ethical norms guidelines are constructed under the basic guideline of adhering to human-centeredness. Finally, the implementation of AI governance ethical norms is carried out, and under AI governance, the average correct rate of event classification and processing accuracy is above 85%, 207 resolved events are added every month, and the cumulative number of resolved events is increased by 2,486. At the same time, the risk factor risk can be seen, proving that the governance model under the participation of AI can effectively improve the efficiency of governance to promote the development and application of AI governance model provides a certain theoretical basis and reference value.

The Formation and Implementation of Ethical Norms for Artificial Intelligence in the Soil of the Rule of Law - Focusing on AI Governance

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the context of today’s fast-reading development of artificial intelligence (AI), the governance model supported by AI technology has become the focus of...

The Formation and Implementation of Ethical Norms for Artificial Intelligence in the Soil of the Rule of Law - Focusing on AI Governance

Data publikacji: 05 sie 2024

Zakres stron: -

Otrzymano: 09 kwi 2024

Przyjęty: 29 cze 2024

DOI: https://doi.org/10.2478/amns-2024-2047

Słowa kluczowe
Dental-ism model, fsQCA, AI governance, Ethical risk identification, Intelligent ethical norms

© 2024 Yuanhong Fan., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Formation and Implementation of Ethical Norms for Artificial Intelligence in the Soil of the Rule of Law - Focusing on AI Governance

Data publikacji: 05 sie 2024

Zakres stron: -

Otrzymano: 09 kwi 2024

Przyjęty: 29 cze 2024

DOI: https://doi.org/10.2478/amns-2024-2047

Słowa kluczoweDental-ism model, fsQCA, AI governance, Ethical risk identification, Intelligent ethical norms

© 2024 Yuanhong Fan., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Dental-ism model, fsQCA, AI governance, Ethical risk identification, Intelligent ethical norms