New Productive Forces Technology Report: Leveraging DIKWP Artificial Consciousness Innovations

(初学者版)

By Prof. Yucong Duan(段玉聪)

International Standardization Committee of Networked DIKWP 

for Artificial Intelligence Evaluation（DIKWP-SC）

World Artificial Consciousness CIC（WAC）

World Conference on Artificial Consciousness（WCAC）

Executive Summary

The advancement of new productive forces is increasingly reliant on the intersection of AI, data science, and innovative frameworks like the DIKWP model. This report provides a comprehensive analysis of 90 DIKWP-related patents, illustrating their potential to reshape industries by enhancing efficiency, privacy, and the integration of intelligent systems. Through the exploration of these patents, we identify key areas where DIKWP technologies can drive growth and innovation, especially in healthcare, IoT, and AI governance.

1. Introduction

The DIKWP model, representing Data, Information, Knowledge, Wisdom, and Purpose, is a revolutionary framework designed to bridge gaps in current AI systems. It emphasizes the transformation of data through successive layers of abstraction to achieve purpose-driven outcomes. This model's application spans various domains, including healthcare, cybersecurity, IoT, and virtual communities. The patents analyzed in this report represent the cutting edge of DIKWP's potential to foster new productive forces, which are critical for the next phase of industrial evolution.

2. Healthcare and Personalized Medicine2.1 Vaccine Concentration Confirmation (Patent No. 202110830241.9)

This patent focuses on a DIKWP-based method to determine personalized vaccine concentrations. By constructing a DIKWP map for individuals, the system analyzes data and knowledge related to their health status and vaccine efficacy to recommend optimal doses. This innovation exemplifies the shift towards personalized medicine, reducing adverse reactions and improving public health outcomes.

2.2 Cross-Modality Medical Data Analysis (Patent No. 202011199039.2)

This patent outlines a method for cross-modal analysis of medical data using DIKWP principles. It integrates diverse data types, from imaging to lab results, to create a comprehensive health profile, enabling more accurate diagnoses and personalized treatment plans. This approach enhances diagnostic accuracy and patient outcomes, marking a significant advancement in medical informatics.

3. Privacy and Data Security3.1 AI Governance for Privacy Protection (Patent No. 202110908765.5)

In the age of AI, privacy concerns are paramount. This patent introduces a method for AI governance that focuses on cross-modal privacy protection using the DIKWP framework. It anonymizes and encrypts data based on the user's intent and the sensitivity of the information, significantly reducing the risk of data breaches. This technology is crucial for maintaining trust in AI-driven systems.

3.2 Relative Differential Privacy Protection (Patent No. 202011580150.6)

This patent details a method for ensuring privacy in data-driven environments by applying differential privacy techniques within the DIKWP model. By manipulating data at the intersection of different knowledge layers, it minimizes privacy risks while maintaining the utility of the data. This innovation is particularly relevant for industries dealing with sensitive information, such as finance and healthcare.

4. Internet of Things (IoT) and Smart Systems4.1 IoT Resource Privacy Protection (Patent No. 201810248695.3)

This patent addresses the privacy challenges in IoT networks. It proposes a method to protect IoT resources by converting and securing data across different layers of the DIKWP model. This ensures that sensitive information remains protected, even as it traverses complex IoT ecosystems. The approach significantly improves the security and privacy of IoT devices, which are often seen as weak links in cybersecurity.

4.2 Edge Computing for Medical Resources (Patent No. 201711316801.9)

Focusing on the efficient use of edge computing in healthcare, this patent describes a system that optimizes the storage, processing, and transmission of medical resources using DIKWP principles. By balancing computational loads between cloud and edge devices, it ensures that critical medical data is processed in real-time, enhancing the responsiveness of healthcare services.

5. AI-Driven Knowledge Management5.1 Content Integrity Modeling (Patent No. 202111679103.1)

This patent introduces a method for ensuring content integrity across digital platforms using DIKWP. It involves building DIKWP models for content creators and recipients to verify the completeness and accuracy of shared information. This technology is essential for maintaining the reliability of digital communication in knowledge-intensive industries.

5.2 Knowledge-Driven Resource Processing (Patent No. 202010728065.3)

This innovation leverages the DIKWP framework to manage resources in virtual communities, optimizing the exchange and processing of knowledge. It facilitates personalized interactions by dynamically adjusting the DIKWP model based on user behavior, ensuring that users receive relevant and accurate information. This approach enhances the user experience in digital platforms by tailoring content to individual needs.

6. Conclusion and Recommendations

The patents analyzed in this report demonstrate the transformative potential of the DIKWP model in fostering new productive forces across various sectors. By integrating data, information, knowledge, wisdom, and purpose, these innovations address critical challenges in healthcare, privacy, IoT, and AI governance. To maximize the impact of these technologies, it is recommended that:

• Healthcare Providers invest in DIKWP-based systems to enhance personalized medicine and improve patient outcomes.

• Cybersecurity Firms adopt DIKWP frameworks to bolster data privacy and protect against cyber threats.

• IoT Developers incorporate DIKWP principles to secure smart systems and ensure the integrity of IoT networks.

• AI and Knowledge Management professionals leverage DIKWP for more reliable and efficient content processing and distribution.

These steps will ensure that DIKWP technologies contribute significantly to the development of new productive forces, driving innovation and growth in the digital economy.

This report provides a high-level overview and strategic recommendations based on the detailed patent analysis. Each of these innovations plays a crucial role in shaping the future of their respective fields, making DIKWP a central framework for the advancement of new productive forces.