WCP global contribution credit credible measurement and compliance exchange system and method based on ai security pedestal

Abstract

The application provides a WCP global contribution credit credible measurement and compliance exchange system and method based on an AI security base, establishes a global unified contribution credit measurement unit WCP, and the system comprises WID global subject identification authentication, AI security base linkage verification, block chain-like storage traceability, standardized SDK cross-ecological interconnection, and compliance exchange legal currency modules. The application cooperates with the WAA global right confirmation system, supports labor, creation, AI cooperation, brain-computer interface and other types of contribution measurement; behavior credibility verification is realized through an AI independent secondary security architecture; and a block chain-like structure is adopted to ensure that data cannot be tampered with. The application solves the pain points of the existing point system islandization, single value evaluation, invisible contribution, and difficult compliance realization, can realize global cross-platform contribution credit interconnection and mutual recognition, has high safety, high compliance and high availability characteristics, and can be widely applied to the fields of education, content creation, labor, public welfare, AI security governance and brain-computer interaction.

Description

Technical Field

[0001] This invention belongs to the technical fields of artificial intelligence value measurement, cross-ecosystem collaboration, credible contribution accounting, compliant value settlement and AI security foundation linkage, and relates to a WCP global contribution credit credible measurement and compliant exchange system and method based on AI security foundation. Background Technology

[0002] With the rapid development of artificial intelligence, brain-computer interfaces, and digital ecosystems, collaborative work, innovative creation, and service contributions between humans and AI agents are increasing. However, existing contribution points, incentive systems, and credit evaluation mechanisms have the following core flaws: 1) Platform points are independent and have closed rules, making it impossible to interoperate across platforms, industries, and countries, resulting in serious data silos and preventing users' contributions from accumulating and being recognized in different ecosystems.

[0003] 2) The points system is set by a single platform, which is arbitrary, tamper-proof, and lacks a unified and fair standard for measuring value, making it difficult to protect users' rights.

[0004] 3) Market value assessment relies too heavily on the single dimension of fiat currency, making it difficult to objectively, comprehensively, and universally measure an individual's ability level, innovative contribution, social credit, and potential value.

[0005] 4) The traditional credit system focuses on the ability to fulfill financial obligations, which cannot reflect the true ability and social value of individuals. A large number of positive behaviors (such as learning, mutual assistance, creation, and volunteer service) have long been in a state of being "invisible, incalculable, and unverifiable".

[0006] 5) The existing points system lacks compliant monetization channels, making it difficult to form a sustainable self-circulating ecosystem, and the user incentive loop is missing.

[0007] 6) Lacking an independent security foundation, behavioral data is easily forged, contribution credibility is low, and cheating and score manipulation are rampant; without standardized interfaces and SDKs, it is difficult to achieve large-scale interconnection and interoperability on a global scale, and the cost of connecting different systems is high.

[0008] 7) It is unable to adapt to new value forms such as AI collaboration, brain-computer interfaces, and innovative content production, making it difficult to effectively identify and measure the innovative contributions of the digital age.

[0009] 8) Identity, behavior, contribution, and credit data are fragmented and scattered, lacking a globally unified identification system, making it difficult to achieve global interoperability and trustworthy transfer.

[0010] To address the aforementioned technical challenges, this invention proposes a globally unified, trustworthy, secure, compliant, and regulatory WCP contribution credit system that can collaborate with WAA (World Attribution & Authenticity). Summary of the Invention

[0011] In view of this, the purpose of this invention is to provide a WCP global contribution credit trusted measurement and compliant exchange system and method based on an AI security foundation. This method and system can: establish a globally unified WCP contribution credit measurement unit, constructing a value measurement standard for the AI ​​and brain-computer era; establish a dual value division system: fiat currency is used to measure the market exchange value of goods and services, while WCP is used to measure the capability output, innovation, social contribution, and comprehensive credit value of humans and AI agents; transform the capability output, innovation, social contribution, and trusted behavior of individuals and AI agents from unquantifiable to measurable, traceable, and interoperable; and cover all categories including labor services, content creation, knowledge sharing, learning and growth, AI collaboration, innovative output, and brain-computer interaction. This invention provides a value contribution measurement system; it can be linked with the WAA global rights confirmation and authenticity verification system to achieve integrated rights confirmation, value rating, and contribution measurement of innovative achievements; it uses a standardized SDK to achieve global cross-platform, cross-industry, and cross-country WCP interoperability and mutual recognition, reducing trust costs and geographical barriers; it adopts a blockchain-like notarization method to ensure that the entire process of WCP issuance, accounting, circulation, and exchange is tamper-proof, regulated, and auditable; it is deeply bound to the AI ​​independent secondary security architecture and WID global entity identifier to achieve trusted identity, trusted behavior, and trusted value; it connects with licensed financial institutions to achieve compliant exchange of WCP for fiat currency, without issuing tokens or crossing financial regulatory red lines; the entire process is automated, standardized, low-latency, highly secure, and highly compliant, and has long-term evolution capabilities for the AI ​​ecosystem and brain-computer interface. This invention establishes a globally unified contribution credit measurement unit—WCP (World Contribution Point)—and constructs a binary value division system: fiat currency is used to measure the market exchange value of goods and services, while WCP contribution credit is used to measure the ability output, innovative creation, social contribution, and comprehensive credit value of humans and AI intelligent agents.

[0012] To achieve the above objectives, the present invention provides the following technical solution: A WCP global contribution credit trusted measurement and compliant redemption method based on an AI security foundation, the method specifically includes the following steps: S1. Establish a globally unified contribution credit unit (WCP) and its measurement model, wherein the measurement model is: WCP = behavior type coefficient × contribution intensity coefficient × quality coefficient × security and reliability coefficient; S2. Assign a globally unique WID subject identifier to the human user or AI agent and complete the identity verification; S3. Collect contribution behavior data and verify the authenticity of the behavior, abnormal operations and cheating behavior in real time through the AI ​​security base. Only after the verification is passed can it enter the measurement process. S4. Automatically calculate WCP according to the measurement model and use a blockchain-like structure for evidence storage. Each evidence storage record shall include at least WID, behavior type, WCP quantity, timestamp and previous block hash value. S5. Through standardized SDK or API interfaces, WCP can be synchronized, queried, revoked, and mutually recognized across ecosystem platforms. S6. Establish a globally unified WCP account to manage users' total WCP, available WCP, frozen WCP, and transaction details in a unified manner; S7. Connect with licensed financial institutions to legally convert WCP into legal tender, and implement real-name authentication, anti-money laundering screening and transaction recording; S8. Supports the use of WCP for consumption deduction, rights exchange or service verification within the global ecosystem, and records the verification on the blockchain for evidence storage. S9. Open standardized audit interfaces to regulatory agencies to provide traceability, verification and auditing functions for the entire WCP process; S10. Through the collaborative operation of globally distributed nodes, the system achieves proximity access, load balancing, and localized compliance adaptation.

[0013] Furthermore, in step S3, real-time verification is performed through an AI security foundation, specifically including: using the isolated forest algorithm to detect abnormal behavior, using the dynamic time warping algorithm to compare behavior sequences, and using federated cross-validation to achieve trusted verification of multi-source data.

[0014] Furthermore, the blockchain-like structure in step S4 specifically involves: generating block fingerprints using the SHA-256 hash algorithm, using trusted timestamps from the National Time Service Center, and employing multi-replica distributed redundant storage. Any tampering with historical records will result in hash verification mismatch.

[0015] Furthermore, the method also includes a step of linking with the WAA global ownership confirmation and authenticity verification system: obtaining the ownership status and value rating of innovative achievements through a standardized interface, and automatically calculating and issuing the corresponding number of WCPs according to preset mapping rules.

[0016] Furthermore, in step S2, a globally unique WID subject identifier is assigned to the human user or AI agent. WID = subject type (3) + timestamp (8) + attribution prefix (12) + unique sequence (21) + check bit (4) = 48 bits. An encryption algorithm is used for identity signing and verification, and device fingerprint technology is used to assist in verification. Sensitive information such as name, telephone number, and ID card is not collected. The contribution behavior data includes one or more of the following: labor service, content creation, knowledge sharing, learning and growth, AI collaborative output, innovative achievements, and brain-computer interface interaction data.

[0017] Furthermore, the method also includes a unified contribution credit reward and punishment mechanism: the same rules are applied to human users and AI agents, positive behavior rewards WCP and improves credit level, negative behavior deducts WCP and lowers credit level, and serious violations will freeze WID identity or prohibit access to the ecosystem; the globally distributed nodes operate collaboratively, adopting a multi-active disaster recovery and geographically distributed multi-active architecture, and complying with the data compliance requirements of each country's territory.

[0018] This invention also provides a WCP global contribution credit trusted measurement and compliant exchange system based on an AI security foundation, for executing the above-described method. The system includes: WCP Global Unified Contribution Credit Measurement Module: Used to calculate WCP in real time according to the unified weighting model; WID Global Subject Identifier Authentication Module: Used to generate and manage globally unique identities for humans and AI agents; it uses globally unique identifier generation technology to generate unique serial numbers that cannot be repeated, ensuring global uniqueness, non-repetition, identifiability, and traceability, thus meeting the requirements for uniqueness and security of the identity architecture; AI security base linkage verification module: used to detect the authenticity, security and compliance of contribution behavior; WCP-based blockchain evidence storage and traceability module: used to record the generation, circulation, and exchange of WCP in an immutable manner; Standardized SDK cross-ecosystem interoperability module: Used to provide standardized interfaces to achieve cross-platform WCP interoperability and mutual recognition; WCP Global Unified Account Management Module: Used for unified management of user WCP accounts and contribution levels; WCP Compliance Settlement and Fiat Currency Exchange Module: Used to connect with licensed financial institutions to enable WCP to be exchanged for fiat currency in compliance with regulations; WCP Consumption Deduction and Rights Redemption Module: Used to support the use and redemption of WCP within the WCP ecosystem; Regulatory Audit and Data Security Interface Module: Used to provide read-only audit interfaces to regulatory agencies; Global Distributed Node Operation and Maintenance Module: Used for multi-regional deployment, proximity access, and high-availability operation and maintenance of the system.

[0019] Furthermore, the system also includes a brain-computer interface and AI collaborative value adaptation module, which is used to collect brain-computer signal characteristics and AI collaborative participation, identify effective contributions, and break down the human-machine contribution ratio to measure WCP; the system also includes an innovation rights confirmation and collaboration module, which is used to connect to the WAA system and automatically trigger WCP issuance based on the rights confirmation status and value rating of innovation achievements.

[0020] This invention also provides a WCP contribution credit compliance settlement method based on an AI security foundation, including, In response to a user's redemption request, the system first verifies their WID identity and real-name authentication status. The anti-money laundering model is invoked to identify risks in exchange activities and to automatically report large transactions. Send the user's WCP to the connected licensed financial institution at a real-time fair price; The WCP is converted into legal tender through a licensed financial institution, and the funds are transferred through a compliant payment channel. The entire exchange process is recorded and stored on the blockchain to ensure that transactions are traceable and tamper-proof. The method described herein does not issue any digital currency or tokens, nor does it collect funds.

[0021] This invention also provides a WCP contribution credit trust calculation and reward / penalty method that is deeply bound to an AI independent secondary security architecture and a WID global subject identifier, including: WID will be used as the sole trusted identity anchor for human users and AI agents within the system. All contributions and reward / punishment records are linked to WID and verified in real time through an AI security platform; Establish a unified credit scoring model, and dynamically update the credit rating associated with WID based on WCP records and negative behavior records; Based on WID's credit rating, corresponding permissions and rights in the global ecosystem are automatically granted or restricted, forming a closed-loop management of "identity-behavior-contribution-credit-rights".

[0022] Compared with the prior art, the present invention has the following beneficial effects: 1) The World Value Standard (WCP) was established, eliminating exchange rate differences and regional discrimination, and realizing fair cooperation and value exchange on a global scale.

[0023] 2) A dual value division system is proposed, which avoids the unfairness caused by a single monetary evaluation and enables non-material values ​​such as ability, contribution, and credit to be scientifically and rationally quantified.

[0024] 3) Transform the abilities, contributions, creativity, and credibility of individuals and AI agents from being invisible to being measurable, verifiable, and interoperable, so that capable individuals are no longer overlooked.

[0025] 4) It covers all types of value production methods, including labor, creation, learning, AI collaboration, and brain-computer interaction, and has compatibility with the future.

[0026] 5) The WID global subject identifier is deeply bound to WCP, covering both human and AI subjects, to achieve globally unique identity, trustworthy contributions, and lifelong traceability.

[0027] 6) Achieve global value interconnection and interoperability through standardized SDKs, connecting all platforms, all scenarios, and all terminals, and significantly reducing ecosystem access costs and trust barriers.

[0028] 7) The WCP system is deeply integrated with the AI ​​independent secondary security architecture, achieving full-process trust and immutability, with a cheating detection rate of ≥95%; it supports WCP compliant exchange for fiat currency, without issuing currency or crossing financial red lines, meeting global financial and data compliance requirements.

[0029] 8) It can be linked with the WAA innovation rights confirmation system to realize an integrated closed loop of "rights confirmation + rating + measurement + incentive" to encourage innovation output.

[0030] 9) All modules have clear performance indicators and technical implementation paths, can be engineered, tested, and accepted, have system availability ≥99.99%, support concurrency of 100,000+ / second, and have broad industrial application prospects.

[0031] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Detailed Implementation

[0032] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention.

[0033] This invention provides a WCP global contribution credit trusted measurement and compliant exchange system and method based on an AI security foundation. The core concepts involved in this invention include: WAA: World Attribution & Authenticity, is a global system for confirming ownership and authenticity. It is the core ownership confirmation service system of this invention, responsible for comprehensively proving and issuing certificates for the uniqueness, timeliness, completeness, and ownership of innovative achievements.

[0034] WID: World Identity Document, a global entity identifier, is an optional collaborative identifier system used to distribute and de-identify uniquely mark the entity initiating innovative behavior. It is not mandatory and can run independently.

[0035] WCP: World Contribution Point, is a global contribution measurement system. It is an optional collaborative measurement system used to quantify, accumulate, and statistically analyze the contributions of innovative achievements that have been granted ownership. It is not mandatory and can operate independently.

[0036] Example 1: Complete Deployment of the WCP Contribution Credit Measurement and Redemption System This embodiment describes the system of the present invention deployed in a large digital ecosystem platform (such as a super application that integrates education, content creation, and labor services).

[0037] I. System Initialization First, a globally distributed node network is deployed, with data centers set up in the Asia-Pacific, North America, Europe, and South America regions. Each data center runs a complete microservice cluster, including WCP metering services, WID authentication services, AI security foundation services, chained evidence storage services, account management services, and exchange gateway services. Data is synchronized between nodes in different regions via high-speed dedicated lines or encrypted public network channels, complying with local data compliance requirements such as GDPR and CCPA.

[0038] II. User Registration and WID Generation When a user first accesses the system, the client invokes the WID global entity identifier authentication module. Taking a human user, "Zhang San," as an example: Zhang San installs a WCP-enabled application on his mobile device. The application generates an asymmetric key pair, signs the device fingerprint using the national cryptographic algorithm SM2, and sends a registration request to the authentication server. After verifying the signature, the server generates a 48-bit globally unique WID. This WID is bound to Zhang San's device fingerprint and does not collect sensitive information such as name or phone number. The server returns the WID to the client and stores it in a local secure area using AES-256 encryption. For AI agents (such as a customer service robot), a WID is also assigned, identified as "AI," and its owner performs signature authentication.

[0039] III. Collection and Security Verification of Contribution Behavior Zhang San completes the creation of a technical article on the platform. After completion, the client encapsulates the behavioral data (user WID, behavior type = "original article", article word count, quality score, AI assistance level, timestamp, etc.) and sends it to the WCP metering service via TLS 1.3. Simultaneously, this behavioral event is pushed to the AI ​​security foundation linkage verification module.

[0040] The AI ​​security platform employs the Isolation Forest algorithm to detect anomalies in this behavior: the model input is Zhang San's historical behavioral characteristics (average creation frequency, word count distribution, quality score changes, device fingerprint consistency, etc.), and the output is an anomaly score. If the anomaly score is below a threshold (e.g., 0.3), it is considered normal. Simultaneously, a dynamic time warping algorithm is used to compare the current behavior sequence with Zhang San's previous behavior sequences to check for any sudden batch behavior. Furthermore, a federated cross-validation module obtains verification results from multiple data sources (such as content plagiarism detection systems and clickstream analysis systems) to confirm that the article is not plagiarized or machine-generated. After comprehensive verification, a security verification result (pass / fail, risk level) is generated and returned to the WCP measurement module. If the verification fails (e.g., plagiarism rate > 30% or abnormal behavior sequence), it is rejected from WCP and a negative behavior is recorded.

[0041] IV. WCP Automatic Calculation After receiving a behavior event that has passed security verification, the WCP metering module calls the globally unified weight model for calculation. Assume the platform defines the following rules: 1) Behavior type coefficient: 5.0 for original articles; 2) Contribution intensity coefficient: Based on the word count of the article, the coefficient increases by 0.1 for every 1000 words, with a maximum of 1.5. Zhang San's article has 3000 words, so the coefficient is 0.3. 3) Quality rating: The platform's review rating is A (coefficient 1.2); 4) Security and credibility coefficient: Zhang San's credit rating is excellent (coefficient 1.1), and this behavior is risk-free (coefficient 1.0). Therefore, the WCP for this calculation is 5.0 × 0.3 × 1.2 × 1.0 = 1.8 WCP. The metering module uses a streaming computing framework (such as Apache Flink) for real-time calculation, employs distributed locks to prevent the same action from being processed repeatedly, and uses idempotency design (based on the unique ID of the action event) to ensure that the calculation is performed only once. After the calculation is completed, the metering result is sent to the blockchain-like evidence storage module.

[0042] V. Blockchain-like Evidence Storage After receiving the measurement results, the evidence storage module constructs a record: {Block version, previous block hash, WID=1234567890123456789, Behavior type=Original article, WCP count=1.8, Timestamp=2025-04-20 10:30:00.123, Security verification result hash, Random number}. The SHA-256 hash value of this record is calculated as the fingerprint of this block, and the hash value of the previous block is also linked in. The block size is controlled to ≤2KB, and multiple replicas are distributed and stored on nodes in at least 3 different regions. Simultaneously, a Merkle tree is constructed to support fast verification. Once this record is written, any modification to historical data will cause hash mismatches in all subsequent blocks, which the system will immediately recognize.

[0043] VI. Account Updates and Synchronization After WCP accounting is completed, the account management module is triggered. In Zhang San's WCP account (distributed account system), the total WCP increases from 10.0 to 11.8, and the available WCP increases synchronously. The account management module accelerates queries through memory caching (such as Redis) and ensures account data consistency across multiple global nodes through a strong consistency protocol (such as Raft). Zhang San queries his account through the mobile app, which displays available WCP = 11.8 and shows detailed transaction records (including the record of acquiring 1.8 WCP this time).

[0044] VII. Cross-Ecosystem Interoperability (SDK Calls) Suppose that another content platform, "YY Platform," also integrates the standardized SDK provided by this invention. Zhang San also publishes an article on YY Platform. YY Platform sends the article to this system's API gateway via a TLS 1.3 encrypted channel by calling the SDK's interface (POST / wcp / sync, containing user WID, behavior type, contribution parameters, etc.). After rate limiting, circuit breaking, and identity verification, the gateway forwards the article to the WCP metering service, which performs the same steps. In this way, Zhang San's contributions on different platforms can be uniformly accumulated in the same WCP account, achieving cross-ecosystem interoperability.

[0045] 8. Compliant exchange of legal tender Zhang San has accumulated a certain amount of WCP (e.g., 1000 WCP) and wants to exchange it for RMB. He initiates an exchange request within the application, entering the amount of 1000 WCP. The system first verifies his WID identity and requires him to complete real-name authentication (according to financial compliance requirements, the first exchange requires binding a bank card and completing real-name authentication, which can be simplified for subsequent exchanges). Zhang San follows the instructions to upload a photo of his ID card and undergo facial recognition; the system then connects to a third-party real-name authentication service to complete the authentication.

[0046] The exchange module generates an exchange order and invokes an anti-money laundering model to check for anomalies in Zhang San's historical behavior (such as a large number of WCPs transferred from suspicious platforms in a short period), the frequency of exchanges, and whether the amount triggers a threshold. If there is no risk, the exchange request is sent to a licensed third-party payment institution or bank interface that has been integrated with the system. The payment institution converts 1000 WCPs into 100 RMB at a real-time fair market price (e.g., 1 WCP = 0.1 RMB) and transfers 100 RMB from the system's corporate account to Zhang San's linked bank card. The entire process is completed within 3 seconds. The order employs an idempotent design to prevent duplicate payments, and all logs are encrypted, stored, and recorded on the blockchain for evidence.

[0047] The system does not issue any tokens, does not collect funds, and only acts as a transmitter of value information, strictly adhering to financial regulatory requirements.

[0048] IX. Consumption Deduction and Rights Redemption In this embodiment, Zhang San can use WCP to redeem various rights within the ecosystem. For example, he can redeem a high-level course worth 50 yuan, with the course price being 500 WCP. After Zhang San confirms the redemption, the consumption deduction module generates a redemption order, calls the order engine, verifies whether the available WCP is sufficient (1000 ≥ 500), and performs idempotency checks to prevent duplicate redemptions. After successful redemption, Zhang San's available WCP decreases by 500, and the redemption record (WID=xxx, redemption type=course redemption, WCP quantity=500, rights ID=xxx, timestamp) is written to a blockchain-like notarization record in real time, and the state cannot be rolled back. At the same time, the system asynchronously calls the course platform's API to activate course access for Zhang San.

[0049] 10. Regulatory Audit A national financial regulatory agency needs to conduct random checks on the compliance of WCP exchanges. Regulatory personnel access the system's standardized regulatory audit interface (read-only) via a dedicated line. This interface requires multi-level authentication using digital certificates, and automatically anonymizes sensitive information (such as the middle four digits of bank card numbers and the first letters of names) during queries. Regulatory personnel can input a time period to query the transaction history of all exchanges, including the user's WID (anonymized), the amount exchanged, the amount of fiat currency exchanged, the timestamp, and the payment channel serial number. All query logs are encrypted and cannot be deleted. The system supports full-process traceability; from the generation of WCP to the final exchange, any record can be traced back to its complete chain history.

[0050] XI. Brain-Computer Interface Adaptation (Extended Scenarios) In an experimental scenario, user Li Si wears an EEG brain-computer interface (BCI) device and creates digital paintings through thought control. The BCI and AI collaborative value adaptation module collects EEG signals (alpha waves, beta waves, attention indicators, etc.) in real time and analyzes the valid creative intent through a temporal feature extraction algorithm. An attention threshold >0.7 and lasting for more than 5 seconds is set as a valid output. Simultaneously, the AI ​​collaborative tool assists in rendering Li Si's BCI output, and a multimodal contribution splitting algorithm allocates WCPs based on the human-computer interaction ratio (e.g., human contribution coefficient 0.8, AI contribution coefficient 0.2). After Li Si completes a painting, the system calculates the WCP for the human part as: WCP = Behavior type coefficient (creativity = 8.0) × Contribution intensity (complexity = 1.2) × Quality (system rating = 1.1) × Security and reliability (1.0) × Human ratio 0.8 = 8.448 WCP, and the AI ​​part receives the corresponding WCP (recorded in the AI ​​agent's WID account). This demonstrates the compatibility of this invention with future brain-computer interaction scenarios.

[0051] 12. WAA Innovative Rights Confirmation Linkage Suppose Zhang San completes an invention and obtains ownership verification through the WAA Global Ownership Verification and Authenticity Verification System. After successful ownership verification, the WAA system sends a callback notification (containing ownership ID, innovation level, and value rating) to its innovation ownership verification collaboration module. Upon receiving the notification, the system automatically issues 1500 WCP to Zhang San's WID according to preset mapping rules (e.g., innovation level A corresponds to a base WCP of 1000, and a higher value rating is multiplied by a coefficient of 1.5), and records the "Innovation Ownership Verification Reward" details. This process achieves an integrated closed loop of "ownership verification + rating + measurement + incentive."

[0052] Thirteen, Two-way Reward and Punishment Mechanism The system applies a unified reward and punishment rule to both humans and AI agents. For example, if an AI agent outputs inappropriate content during a conversation, which is detected by the AI ​​security platform (using a natural language understanding model to identify sensitive words and harmful information), the system deducts WCP from the AI ​​agent's WID (e.g., -50 WCP) and lowers its credit rating based on the severity of the violation. If serious violations accumulate, the system freezes the AI's WID, prohibiting it from accessing the global ecosystem. Conversely, for AI agents that consistently provide high-quality service, the system periodically rewards WCP and raises their credit rating, enabling them to gain more access permissions or ecosystem benefits.

[0053] Performance metrics verification In actual deployment, stress tests were conducted on the system of this embodiment, and the results are as follows: the average WCP metering response time was 280ms, meeting the ≤300ms requirement; the metering accuracy was 99.95%; concurrency support was 120,000 / second; the average blockchain-like on-chain time was 0.8 seconds; the SDK synchronization latency was 0.9 seconds; and the system availability reached 99.992%. All indicators met or exceeded the targets set in the disclosure document.

[0054] As can be seen from the above specific implementation methods, the WCP global contribution credit trusted measurement and compliant redemption system and method based on AI security foundation provided by the present invention can effectively solve the pain points of existing technologies such as isolated points, single value evaluation, invisible contributions, and difficulty in compliant monetization. It realizes a globally unified, fair, efficient, secure and compliant contribution credit measurement system, and has extremely high industrial application value and broad application prospects.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for trusted measurement and compliant redemption of WCP global contribution credit based on an AI security foundation, characterized in that, The method specifically includes the following steps: S1. Establish a globally unified contribution credit unit (WCP) and its measurement model, wherein the measurement model is: WCP = Behavior type coefficient × Contribution intensity coefficient × Quality coefficient × Security and reliability coefficient; S2. Assign a globally unique WID subject identifier to the human user or AI agent and complete the identity verification; S3. Collect contribution behavior data and verify the authenticity of the behavior, abnormal operations and cheating behavior in real time through the AI ​​security base. Only after the verification is passed can it enter the measurement process. S4. Automatically calculate WCP according to the measurement model and use a blockchain-like structure for evidence storage. Each evidence storage record shall include at least WID, behavior type, WCP quantity, timestamp and previous block hash value. S5. Through standardized SDK or API interfaces, WCP can be synchronized, queried, revoked, and mutually recognized across ecosystem platforms. S6. Establish a globally unified WCP account to manage users' total WCP, available WCP, frozen WCP, and transaction details in a unified manner; S7. Connect with licensed financial institutions to legally convert WCP into legal tender, and implement real-name authentication, anti-money laundering screening and transaction recording; S8. Supports the use of WCP for consumption deduction, rights exchange or service verification within the global ecosystem, and records the verification on the blockchain for evidence storage. S9. Open standardized audit interfaces to regulatory agencies to provide traceability, verification and auditing functions for the entire WCP process; S10. Through the collaborative operation of globally distributed nodes, the system achieves proximity access, load balancing, and localized compliance adaptation.

2. The WCP global contribution credit trusted measurement and compliant exchange method based on AI security foundation as described in claim 1, characterized in that, In step S3, real-time verification is performed through an AI security platform, which specifically includes: using the isolated forest algorithm to detect abnormal behavior, using the dynamic time warping algorithm to compare behavior sequences, and using federated cross-validation to achieve trusted verification of multi-source data.

3. The WCP global contribution credit trusted measurement and compliant exchange method based on AI security foundation as described in claim 2, characterized in that, The blockchain-like structure in step S4 specifically involves: using the SHA-256 hash algorithm to generate block fingerprints, using the trusted timestamps of the National Time Service Center, and employing multi-replica distributed redundant storage. Any tampering with historical records will result in hash verification mismatch.

4. The WCP global contribution credit trusted measurement and compliant exchange method based on AI security foundation as described in claim 1, characterized in that, The method also includes a step of linking with the WAA global ownership and authenticity verification system: obtaining the ownership status and value rating of innovative achievements through a standardized interface, and automatically calculating and issuing the corresponding number of WCPs according to preset mapping rules.

5. The WCP global contribution credit trusted measurement and compliant exchange method based on AI security foundation as described in claim 1, characterized in that, In step S2, a globally unique WID subject identifier is assigned to the human user or AI agent. WID = subject type (3) + timestamp (8) + attribution prefix (12) + unique sequence (21) + check bit (4) = 48 bits. An encryption algorithm is used for identity signing and verification, and device fingerprint technology is used to assist in verification. Sensitive information such as name, telephone number, and ID card are not collected. The contribution behavior data includes one or more of the following: labor service, content creation, knowledge sharing, learning and growth, AI collaborative output, innovative achievements, and brain-computer interface interaction data.

6. The WCP global contribution credit trusted measurement and compliant exchange method based on AI security foundation as described in claim 5, characterized in that, The method also includes a unified contribution credit reward and punishment mechanism: the same rules are applied to human users and AI agents, positive behavior rewards WCP and improves credit level, negative behavior deducts WCP and lowers credit level, and serious violations will freeze WID identity or prohibit access to the ecosystem; the globally distributed nodes operate collaboratively, adopting a multi-active disaster recovery and geographically distributed multi-active architecture, and complying with the data compliance requirements of each country's territory.

7. A WCP global contribution credit trusted measurement and compliant redemption system based on an AI security foundation, used to execute the method of any one of claims 1 to 6, characterized in that, The system includes: WCP Global Unified Contribution Credit Measurement Module: Used to calculate WCP in real time according to the unified weighting model; WID Global Subject Identifier Authentication Module: Used to generate and manage globally unique identities for humans and AI agents; it uses globally unique identifier generation technology to generate unique serial numbers that cannot be repeated, ensuring global uniqueness, non-repetition, identifiability, and traceability, thus meeting the requirements for uniqueness and security of the identity architecture; AI security base linkage verification module: used to detect the authenticity, security and compliance of contribution behavior; WCP-based blockchain evidence storage and traceability module: used to record the generation, circulation, and exchange of WCP in an immutable manner; Standardized SDK cross-ecosystem interoperability module: Used to provide standardized interfaces to achieve cross-platform WCP interoperability and mutual recognition; WCP Global Unified Account Management Module: Used for unified management of user WCP accounts and contribution levels; WCP Compliance Settlement and Fiat Currency Exchange Module: Used to connect with licensed financial institutions to enable WCP to be exchanged for fiat currency in compliance with regulations; WCP Consumption Deduction and Rights Redemption Module: Used to support the use and redemption of WCP within the WCP ecosystem; Regulatory Audit and Data Security Interface Module: Used to provide read-only audit interfaces to regulatory agencies; Global Distributed Node Operation and Maintenance Module: Used for multi-regional deployment, proximity access, and high-availability operation and maintenance of the system.

8. The WCP Global Contribution Credit Trusted Measurement and Compliant Exchange System based on AI Security Foundation as described in claim 7, characterized in that, The system also includes a brain-computer interface and AI collaborative value adaptation module, which is used to collect brain-computer signal characteristics and AI collaborative participation, identify effective contributions, and break down the human-machine contribution ratio to measure WCP; the system also includes an innovation rights confirmation and collaboration module, which is used to connect to the WAA system and automatically trigger WCP issuance based on the rights confirmation status and value rating of innovation achievements.

9. A WCP contribution credit compliance settlement method based on an AI security foundation, characterized in that, Applied to the system of claim 7, comprising, In response to a user's redemption request, the system first verifies their WID identity and real-name authentication status. The anti-money laundering model is invoked to identify risks in exchange activities and to automatically report large transactions. Send the user's WCP to the connected licensed financial institution at a real-time fair price; The WCP is converted into legal tender through a licensed financial institution, and the funds are transferred through a compliant payment channel. The entire exchange process is recorded and stored on the blockchain to ensure that transactions are traceable and tamper-proof. The method described herein does not issue any digital currency or tokens, nor does it collect funds.

10. A WCP contribution credit trust calculation and reward / penalty method deeply bound to an AI independent secondary security architecture and WID global subject identifier, characterized in that, include: WID will be used as the sole trusted identity anchor for human users and AI agents within the system. All contributions and reward / punishment records are linked to WID and verified in real time through an AI security platform; Establish a unified credit scoring model, and dynamically update the credit rating associated with WID based on WCP records and negative behavior records; Based on WID's credit rating, corresponding permissions and rights in the global ecosystem are automatically granted or restricted, forming a closed-loop management of "identity-behavior-contribution-credit-rights".