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

<p>This paper aims to promote the safe development of artificial intelligence and improve legal policies. Combined with the cluster analysis algorithm, it analyzes the safety risks as well as legal defects of artificial intelligence. The Laplace matrix is derived using the similarity matrix, and the feature vector space is constructed by analyzing the associated features of artificial intelligence safety. Combining the spectral clustering algorithm, legal assessment indexes for artificial intelligence safety were constructed. The modular metric value method is utilized to assess the clustering effect of laws on the safety of artificial intelligence. Analyzing the security risks of artificial intelligence, improved legal policies are proposed from the perspective of technology and privacy. The results show that the effect of improving privacy protection policy on privacy protection is 0.85, and the effect of clarifying subject rights is 0.9. The introduction of laws should consider social ethics, and the effect degree of ethical principles is 0.75. Clarifying subject rights can help avoid technological risks to a certain extent, and improving privacy protection policies can help protect users’ privacy.</p>
</abstract>

This paper aims to promote the safe development of artificial intelligence and improve legal policies. Combined with the cluster analysis algorithm, it analyzes the safety risks as well as legal defects of artificial intelligence. The Laplace matrix is derived using the similarity matrix, and the feature vector space is constructed by analyzing the associated features of artificial intelligence safety. Combining the spectral clustering algorithm, legal assessment indexes for artificial intelligence safety were constructed. The modular metric value method is utilized to assess the clustering effect of laws on the safety of artificial intelligence. Analyzing the security risks of artificial intelligence, improved legal policies are proposed from the perspective of technology and privacy. The results show that the effect of improving privacy protection policy on privacy protection is 0.85, and the effect of clarifying subject rights is 0.9. The introduction of laws should consider social ethics, and the effect degree of ethical principles is 0.75. Clarifying subject rights can help avoid technological risks to a certain extent, and improving privacy protection policies can help protect users’ privacy.

A study of innovations in legal governance with respect to the safety of artificial intelligence

Applied Mathematics and Nonlinear Sciences

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

This paper aims to promote the safe development of artificial intelligence and improve legal policies. Combined with the cluster analysis algorithm, it...

A study of innovations in legal governance with respect to the safety of artificial intelligence

Pubblicato online: 29 nov 2023

Pagine: -

Ricevuto: 18 gen 2023

Accettato: 09 giu 2023

DOI: https://doi.org/10.2478/amns.2023.2.01300

Parole chiave
Artificial Intelligence, Cluster Analysis, Spectral Clustering Algorithm, Modular Metrics, Legal Governance

© 2023 Yanggui Li, published by Sciendo

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

A study of innovations in legal governance with respect to the safety of artificial intelligence

Pubblicato online: 29 nov 2023

Pagine: -

Ricevuto: 18 gen 2023

Accettato: 09 giu 2023

DOI: https://doi.org/10.2478/amns.2023.2.01300

Parole chiaveArtificial Intelligence, Cluster Analysis, Spectral Clustering Algorithm, Modular Metrics, Legal Governance

© 2023 Yanggui Li, published by Sciendo

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

Parole chiave
Artificial Intelligence, Cluster Analysis, Spectral Clustering Algorithm, Modular Metrics, Legal Governance