Sensitive information automatic compliance supervision method and system for content generated by artificial intelligence

Abstract

The invention provides an automatic compliance supervision method and system for sensitive information of artificial intelligence generated content. The method comprises the following steps: S1, analyzing the artificial intelligence generated content, and identifying and marking sensitive information meeting preset requirements; s2, deploying a preset compliance rule on a block chain through an intelligent contract; s3, performing compliance check on the marked sensitive information meeting the preset requirement by using an intelligent contract deployed on the block chain, and when the sensitive information meets a preset compliance rule, allowing the current artificial intelligence generation content to be published; and when the sensitive information does not conform to the preset compliance rule, preventing the current artificial intelligence generation content from being published. According to the invention, the compliance efficiency is improved, the supervision cost is reduced, and the security and transparency of sensitive information processing are ensured.

Description

Technical Field

[0001] The present invention relates to the field of blockchain, artificial intelligence and content supervision technology, and specifically, to a method and system for automatic compliance supervision of sensitive information of artificial intelligence-generated content, and more specifically, to a method and system for automatic compliance supervision of sensitive information of social media with artificial intelligence-generated content based on blockchain and smart contracts. Background Art

[0002] With the advancement of artificial intelligence (AI) technology, more and more content is generated by AI, especially on social media platforms, where user-generated content such as images, texts, and videos through AI has exploded. However, these AI-generated content (AIGC) may contain sensitive information, including personal privacy, hate speech, false information, etc., which can easily lead to legal and ethical risks.

[0003] Existing content supervision methods mostly rely on manual review or simple algorithm filtering, which cannot cope with the challenges of the complexity of AI-generated content, and the compliance review efficiency is low, making it difficult to ensure the transparency and security of the content review process. Therefore, there is an urgent need for an automatic compliance supervision method and system for sensitive information of AI-generated content to ensure the compliance of AI-generated content on social media platforms, especially the processing and supervision of sensitive information.

[0004] Blockchain technology is decentralized, transparent, and tamper-proof. By combining it with smart contracts, it can automatically execute rules and processes, thereby effectively improving the efficiency and security of content compliance management. Summary of the invention

[0005] In view of the defects in the prior art, the purpose of the present invention is to provide a method and system for automatic compliance supervision of sensitive information of artificial intelligence generated content.

[0006] According to the present invention, a method for automatic compliance supervision of sensitive information of artificial intelligence generated content is provided, comprising:

[0007] Step S1: Analyze the AI-generated content, identify and mark sensitive information that meets preset requirements;

[0008] Step S2: deploying the preset compliance rules on the blockchain through smart contracts;

[0009] Step S3: Use the smart contract deployed on the blockchain to perform compliance checks on the marked sensitive information that meets the preset requirements. When the sensitive information complies with the preset compliance rules, the current AI-generated content is allowed to be published; when the sensitive information does not comply with the preset compliance rules, the current AI-generated content is blocked from being published.

[0010] Preferably, before analyzing the AI-generated content, the method further includes: obtaining the AI-generated content, generating a digital fingerprint of the AI-generated content through an encrypted hash function, and sending the digital fingerprint to the blockchain network by calling a smart contract.

[0011] Preferably, the step S1 comprises:

[0012] Step S1.1: Analyze the text content in the AI-generated content through natural language processing technology (NLP), and identify and annotate sensitive information in the AI-generated content that meets preset requirements;

[0013] Step S1.2: Analyze the videos or images in the AI-generated content through computer vision technology, and identify and annotate sensitive information in the AI-generated content that meets the preset requirements.

[0014] Preferably, step S2 includes: the smart contract dynamically adjusts the compliance rules according to the latest laws, regulations and platform policies.

[0015] Preferably, the method further comprises: utilizing blockchain to record the generation, review and compliance processing of AI-generated content.

[0016] According to the present invention, a system for automatically supervising compliance of sensitive information of artificial intelligence-generated content includes:

[0017] Module M1: Analyze AI-generated content to identify and mark sensitive information that meets preset requirements;

[0018] Module M2: Deploy the preset compliance rules on the blockchain through smart contracts;

[0019] Module M3: Use smart contracts deployed on the blockchain to perform compliance checks on marked sensitive information that meets preset requirements. When the sensitive information complies with the preset compliance rules, the current AI-generated content is allowed to be published; when the sensitive information does not comply with the preset compliance rules, the current AI-generated content is blocked from being published.

[0020] Preferably, before analyzing the AI-generated content, the method further includes: obtaining the AI-generated content, generating a digital fingerprint of the AI-generated content through an encrypted hash function, and sending the digital fingerprint to the blockchain network by calling a smart contract.

[0021] Preferably, the module M1 comprises:

[0022] Module M1.1: Analyze the text content in AI-generated content through natural language processing technology (NLP), and identify and annotate sensitive information in AI-generated content that meets preset requirements;

[0023] Module M1.2: Analyze videos or images in AI-generated content through computer vision technology, and identify and label sensitive information in AI-generated content that meets preset requirements.

[0024] Preferably, the module M2 includes: the smart contract dynamically adjusts the compliance rules according to the latest laws, regulations and platform policies.

[0025] Preferably, the method further comprises: utilizing blockchain to record the generation, review and compliance processing of AI-generated content.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. This invention improves the efficiency of compliance supervision of AI-generated content and realizes the automation and intelligence of compliance review;

[0028] 2. The present invention uses blockchain to record compliance processes to ensure the transparency and credibility of the review process;

[0029] 3. The present invention reduces manual intervention and regulatory costs, especially the processing and compliance inspection of massive AI-generated content, and is suitable for large-scale social media platforms;

[0030] 4. The present invention is used to manage and control sensitive information in artificial intelligence generated content (AIGC) on social media platforms, realize the transparency and non-tamperability of the content supervision process through blockchain technology, and automatically execute compliance checks and review strategies in combination with smart contracts, thereby ensuring that the content on the social media platform complies with relevant laws, regulations and privacy requirements; the present invention improves compliance efficiency, reduces supervision costs, and ensures the security and transparency of sensitive information processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0032] Figure 1 Architecture diagram of the system for automated compliance monitoring of sensitive information for AI-generated content. DETAILED DESCRIPTION

[0033] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0034] Example 1

[0035] According to an automatic compliance supervision system and method based on blockchain and smart contracts provided by the present invention, Figure 1 As shown, it is used to manage sensitive information in AI-generated content AIGC on social media platforms; the present invention utilizes the decentralization and immutability of blockchain technology, combined with the automated execution capabilities of smart contracts, to achieve detection, management and compliance audit of sensitive information; specifically, AI-generated content is analyzed through natural language processing, computer vision and other technologies to identify sensitive information therein, such as content involving privacy, violence, hate speech and the like. After identification, smart contracts are used to automatically review and make decisions based on predefined compliance rules to ensure that the content complies with platform policies, laws and regulations and other requirements. For the processing records of sensitive information, blockchain is used for evidence storage to ensure the immutability and transparency of the records, so that the generation, review, and release of the content can be traced. The present invention can efficiently, transparently and securely conduct compliance supervision, reduce the regulatory costs of the platform, and ensure the effectiveness of content supervision.

[0036] The automatic compliance supervision system based on blockchain and smart contracts includes:

[0037] Step 1: Automatic identification and tagging of sensitive information;

[0038] In this embodiment, AI technology is used to automatically identify and mark potentially sensitive information in AI-generated content for subsequent review.

[0039] Specifically, natural language processing (NLP) technology is used to analyze AI-generated text content and identify sensitive keywords or phrases in the text, such as sensitive information involving privacy leaks, violence, hate speech, etc.

[0040] For videos or images, computer vision technology is used for image recognition to detect whether they contain inappropriate images (such as violence, nudity, etc.).

[0041] Once content is identified as sensitive, a risk label is automatically generated and it is marked as content that requires further review.

[0042] The identified sensitive information is classified into different risk levels, such as low risk (minor violation), medium risk (suspected violation), and high risk (serious violation); according to different risk levels, the content will enter different review processes to ensure the refinement and automation of compliance management.

[0043] Step 2: Automated compliance review based on smart contracts;

[0044] In this embodiment, compliance checks and review tasks are automatically performed through smart contracts to ensure that the content complies with the laws and regulations of various countries and platform policies.

[0045] Specifically, the definition and deployment of compliance rules:

[0046] Administrators or content publishers can define compliance standards for sensitive content based on platform policies, national laws and regulations, and relevant privacy protection requirements; these rules are deployed on the blockchain through smart contracts to ensure the transparency and automatic execution of the review process;

[0047] Compliance rules include, but are not limited to: content must not contain hate speech, privacy breaches, false information, etc. The rules can be dynamically adjusted according to the laws and regulations of different regions.

[0048] Smart contracts automatically perform compliance audits:

[0049] After AI-generated content is uploaded, the smart contract will automatically call predefined compliance rules to check the content.

[0050] If the content complies with compliance rules, the smart contract will approve the content for publication; if the content contains sensitive information or violates compliance rules, the smart contract will automatically block the publication and notify the relevant parties to make corrections.

[0051] The system can automatically filter, mark or delete sensitive content based on preset rules to ensure that sensitive information is not released without review.

[0052] System administrators can dynamically adjust the rules in smart contracts based on the latest laws, regulations, and platform policies to ensure that compliance supervision is always consistent with laws and policies.

[0053] Step 3: Blockchain evidence storage and traceability;

[0054] In this embodiment, blockchain technology is used to record all content reviews and compliance operations to ensure that the data is transparent and cannot be tampered with.

[0055] Specifically, the implementation of blockchain evidence storage:

[0056] Every time content is generated, reviewed, and compliant, it is recorded on the blockchain, forming an immutable audit record chain. All nodes can access these records for review and verification.

[0057] Each block in the blockchain contains key information such as content generation time, auditor or audit smart contract ID, compliance check results, etc., ensuring that the entire process is transparent and traceable.

[0058] Review transparency and traceability mechanism:

[0059] Through blockchain evidence storage, social media platforms can provide transparent review reports to regulators or the public to prove the fairness and transparency of the content review process.

[0060] In the event of a dispute, all records can be extracted from the blockchain for traceability and verification of content legality and compliance.

[0061] Step 4: Automated execution of compliance supervision;

[0062] In this embodiment, through the combination of AI and blockchain technology, real-time, dynamic, and automatic content review and compliance supervision are achieved, reducing the pressure of manual review and improving efficiency.

[0063] Specifically, all uploaded AI-generated content is continuously monitored in the background, and sensitive information is analyzed through AI technology; once risky content is detected, the compliance review process is automatically triggered without the need for human intervention.

[0064] The present invention also provides an automatic compliance supervision system based on blockchain and smart contracts. The automatic compliance supervision system based on blockchain and smart contracts can be implemented by executing the process steps of the automatic compliance supervision method based on blockchain and smart contracts, that is, those skilled in the art can understand the automatic compliance supervision method based on blockchain and smart contracts as a preferred implementation of the automatic compliance supervision system based on blockchain and smart contracts.

[0065] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0066] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A method for automatic compliance supervision of sensitive information of artificial intelligence generated content, characterized in that: include: Step S1: Analyze the AI-generated content, identify and mark sensitive information that meets preset requirements; Step S2: deploying the preset compliance rules on the blockchain through smart contracts; Step S3: Use the smart contract deployed on the blockchain to perform compliance checks on the marked sensitive information that meets the preset requirements. When the sensitive information meets the preset compliance rules, the current AI-generated content is allowed to be published; When sensitive information does not comply with preset compliance rules, the current AI-generated content is blocked from being published.

2. The method for automatic compliance supervision of sensitive information of artificial intelligence generated content according to claim 1 is characterized in that: Before analyzing the AI-generated content, the method also includes: obtaining the AI-generated content, generating a digital fingerprint of the AI-generated content through an encrypted hash function, and sending the digital fingerprint to the blockchain network by calling a smart contract.

3. The method for automatic compliance supervision of sensitive information of artificial intelligence generated content according to claim 1 is characterized in that: The step S1 comprises: Step S1.1: Analyze the text content in the AI-generated content through natural language processing technology (NLP), and identify and annotate sensitive information in the AI-generated content that meets preset requirements; Step S1.2: Analyze the videos or images in the AI-generated content through computer vision technology, and identify and annotate sensitive information in the AI-generated content that meets the preset requirements.

4. The method for automatic compliance supervision of sensitive information of artificial intelligence generated content according to claim 1 is characterized in that: The step S2 includes: the smart contract dynamically adjusts the compliance rules according to the latest laws, regulations and platform policies.

5. The method for automatic compliance supervision of sensitive information of artificial intelligence generated content according to claim 1 is characterized in that: The method also includes: using blockchain to record the generation, review and compliance processing of artificial intelligence generated content.

6. An automatic compliance monitoring system for sensitive information of artificial intelligence generated content, characterized in that: include: Module M1: Analyze AI-generated content to identify and mark sensitive information that meets preset requirements; Module M2: Deploy the preset compliance rules on the blockchain through smart contracts; Module M3: Use smart contracts deployed on the blockchain to perform compliance checks on marked sensitive information that meets preset requirements. When the sensitive information meets the preset compliance rules, the current AI-generated content is allowed to be published; When sensitive information does not comply with preset compliance rules, the current AI-generated content is blocked from being published.

7. The system for automatically monitoring sensitive information compliance of artificial intelligence-generated content according to claim 6, characterized in that: Before analyzing the AI-generated content, the method also includes: obtaining the AI-generated content, generating a digital fingerprint of the AI-generated content through an encrypted hash function, and sending the digital fingerprint to the blockchain network by calling a smart contract.

8. The system for automatically monitoring sensitive information compliance of artificial intelligence-generated content according to claim 6, characterized in that: The module M1 comprises: Module M1.1: Analyze the text content in AI-generated content through natural language processing technology (NLP), and identify and annotate sensitive information in AI-generated content that meets preset requirements; Module M1.2: Analyze videos or images in AI-generated content through computer vision technology, and identify and label sensitive information in AI-generated content that meets preset requirements.

9. The system for automatically monitoring sensitive information compliance of artificial intelligence generated content according to claim 6, characterized in that: The module M2 includes: the smart contract dynamically adjusts the compliance rules according to the latest laws, regulations and platform policies.

10. The system for automatically monitoring sensitive information compliance of artificial intelligence generated content according to claim 6, characterized in that: The method also includes: using blockchain to record the generation, review and compliance processing of artificial intelligence generated content.

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