Global First Standardization of White-box Creativity Evaluation for Artificial Consciousness System 1.0 Officially Released: Leading the New Era of AI Safety and Creativity

International Artificial Intelligence DIKWP Evaluation Standards Committee (DIKWP-SC)

World Association of Artificial Consciousness (WAC)

World Conference on Artificial Consciousness (WCAC)

November 2024

Under the spotlight of the global tech community, the International Artificial Intelligence DIKWP Evaluation Standards Committee (DIKWP-SC) led by the World Association of Artificial Consciousness, in collaboration with over 90 prominent institutions and enterprises from more than 10 countries and regions, has officially released the Standardization of White-box Creativity Evaluation for Artificial Consciousness System 1.0. This groundbreaking standard is strongly supported by WAC and WCAC, marking a crucial step in the standardization and ethical development of artificial intelligence, providing a new guiding framework for the design, evaluation, and optimization of Artificial Consciousness Systems (ACS) worldwide.

The release of the Standardization of White-box Creativity Evaluation for Artificial Consciousness System 1.0 represents the culmination of years of planning and organization by DIKWP-SC, and is a critical component of a comprehensive six-standard system. These six standards are interconnected, building a complete standardized framework for artificial consciousness systems:

1. DIKWP Conceptualization Semantics Standards 1.0 Foundation: This standard defines the conceptual semantics and formal relationships between Data (D), Information (I), Knowledge (K), Wisdom (W), and Purpose (P), providing a unified language and foundational framework for ACS development and research.Significance: Resolves issues of ambiguous and inconsistent definitions of artificial consciousness concepts, laying a solid theoretical foundation for subsequent standards.

2. Standardization of DIKWP Semantic Mathematics 1.0Precise Quantification: Based on the conceptual standard, this introduces mathematical models for precise semantic quantification and description of DIKWP elements.Significance: Provides computational and verifiable mathematical support for logical reasoning and decision-making in ACS, improving system reliability and accuracy.

3. Standardization for Constructing DIKWP -Based Artificial Consciousness System 1.0Practical Guidance: This standard specifies how to construct ACS based on the DIKWP model, including architecture design, module division, and interface definitions.Significance: Provides concrete implementation guidelines for developers, ensuring compatibility and collaboration across different systems, and promoting the practical application of artificial consciousness technologies.

4. Standardization for Evaluation and Testing of DIKWP Based Artificial Consciousness System 1.0Quality Assurance: This standard presents a complete evaluation methodology and indicator system for assessing the performance, functionality, and security of ACS.Significance: Ensures the effectiveness and reliability of ACS in real-world applications, setting a quality benchmark for the industry.

5. Standardization of Hallucination Diagnostic Criteria for Artificial Consciousness System 1.0 Innovative Breakthrough: Focuses on the hallucination issue within ACS, offering systematic diagnostic and remediation methods.Significance: Fills a gap in the industry, enhancing the safety and trustworthiness of ACS, and laying the groundwork for its application in critical fields.

6. Standardization of White-box Creativity Evaluation for Artificial Consciousness System 1.0Innovative Breakthrough: This standard introduces the DIKWP-TRIZ framework, combining Data, Information, Knowledge, Wisdom, and Purpose to provide a comprehensive creativity evaluation system. It specifically addresses the issues of incompleteness, inconsistency, and imprecision, while emphasizing ethical consistency to ensure that the system’s creative outputs are both novel and aligned with societal morals and legal requirements.Significance: Establishes clear guidelines for evaluating the creativity of ACS, promoting technological innovation and the safe, reliable development of AI. It unifies industry language, fosters global technical exchange and collaboration, and steers AI toward more ethical and sustainable directions.

The shared goal of these six standards is to establish a comprehensive, scientific, and actionable standardized system for artificial consciousness, promoting the healthy development of AI technologies. Through structured guidance, they ensure that ACS achieves optimal outcomes in functionality, ethical standards, and societal impact. Specifically, these standards aim to:

· Unify industry language: Solve conceptual confusion, promoting global communication and collaboration.

· Enhance system performance: Improve efficiency and accuracy of ACS through mathematical models and optimization methods.

· Ensure safety and reliability: Through rigorous evaluation and diagnostic standards, ensure the stability and safety of ACS.

· Follow ethical norms: Integrate ethical and moral considerations into system design and decision-making processes to prevent potential societal risks.

· Promote industry development: Provide clear standards for enterprises and research institutions, reducing development costs and fostering technological innovation.

The Release of the Sixth Standard: Solving the Artificial Consciousness Creativity Evaluation Challenge

1. Background and Challenges

As the complexity of artificial consciousness systems increases, evaluating creativity has become a new challenge. Creativity refers to a system's ability to generate novel and valuable ideas or solutions. The Standardization of White-box Creativity Evaluation for Artificial Consciousness System addresses this by offering a scientific method for assessing and evaluating system creativity:

· Originality: Assess the uniqueness and innovation of the content generated by the system.

· Ethical Consistency: Ensure that the system’s creative output aligns with ethical and social norms.

· Goal Consistency: Ensure that the system’s creative efforts are always aligned with its defined goals.

2. Core Content of the Standard

The Standardization of White-box Creativity Evaluation for Artificial Consciousness System 1.0 adopts the DIKWP-TRIZ framework as its core evaluation methodology. The specific steps include:

· Mapping innovation context and purpose to DIKWP: Identify Data (D), extract Information (I), build Knowledge (K), integrate Wisdom (W), and define Purpose (P) to ensure that all cognitive processes point toward the intended goal.

· Identify basic innovation patterns: Use DIKWP*DIKWP pattern matching to find all possible element transformation paths and determine the most effective innovation routes.

· Implementation and feedback loop: Continuously assess and adjust to ensure the system’s creativity is consistently improving.

3. Expected Impact

· Enhance system creativity: By mapping, pattern recognition, and integrating innovation patterns, the standard provides a systematic approach to solving the 3-Not problem. In the context of the 3-Not issue, use the DIKWP*DIKWP model to enhance the innovation process.

· Guarantee creativity evaluation: The DIKWP-TRIZ method establishes a comprehensive framework for evaluating the creativity of artificial consciousness.

· Promote industry standardization: Provide practical guidelines for implementing and evaluating artificial consciousness creativity across various applications.

The release of this standard would not have been possible without the contribution of over 90 renowned institutions globally. These institutions include top universities, research institutes, companies, and industry organizations, covering multiple fields such as artificial intelligence, computer science, philosophy, and ethics. This interdisciplinary, cross-field collaboration ensures that the standards are scientific, comprehensive, and actionable.

The release of the Standardization of White-box Creativity Evaluation for Artificial Consciousness System 1.0 marks a new development phase in the field of artificial intelligence. With its implementation, ACS will play an increasing role in various sectors such as smart healthcare, autonomous driving, and smart homes, bringing more convenience to human life. We believe that under the leadership of DIKWP-SC, WAC, WCAC, and other institutions, AI technology will advance toward a safer, more reliable, ethical, and sustainable direction. We look forward to more scholars, engineers, and enterprises joining this process to collectively shape a bright future for artificial intelligence.

Released Standards Links:

[1]  International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC), World Association of Artificial Consciousness(WAC), World Conference on Artificial Consciousness(WCAC),Yucong Duan,etc.(2024). DIKWP Conceptualization Semantics Standards -International Test and Evaluation Standards for Artificial Intelligence based on Networked Data-Information-Knowledge-Wisdom-Purpose (DIKWP) Model. 10.13140/RG.2.2.32289.42088.

[2]  International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC), World Association of Artificial Consciousness(WAC), World Conference on Artificial Consciousness(WCAC), Yucong Duan,etc.(2024). Standardization of DIKWP Semantic Mathematics - International Test and Evaluation Standards for Artificial Intelligence based on Networked Data-Information-Knowledge-Wisdom-Purpose (DIKWP) Model. 10.13140/RG.2.2.26233.89445.

[3]  International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC), World Association of Artificial Consciousness(WAC), World Conference on Artificial Consciousness(WCAC), Yucong Duan,etc.(2024). Standardization for Constructing DIKWP -Based Artificial Consciousness Systems - International Test and Evaluation Standards for Artificial Intelligence based on Networked Data-Information-Knowledge-Wisdom-Purpose (DIKWP ) Model. 10.13140/RG.2.2.26233.89445.

[4]  International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC), World Association of Artificial Consciousness(WAC), World Conference on Artificial Consciousness(WCAC), Yucong Duan,etc.(2024). Standardization for Evaluation and Testing of DIKWP Based Artificial Consciousness Systems - International Test and Evaluation Standards for Artificial Intelligence based on Networked Data-Information-Knowledge-Wisdom-Purpose(DIKWP)Model. 10.13140/RG.2.2.11702.10563.

[5]  International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC), World Association of Artificial Consciousness(WAC), World Conference on Artificial Consciousness(WCAC), Yucong Duan,etc.(2024). Standardization of Hallucination Diagnostic Criteria for Artificial Consciousness System - International Test and Evaluation Standards for Artificial Intelligence based on Networked Data-Information-Knowledge-Wisdom-Purpose (DIKWP ) Model. 10.13140/RG.2.2.11225.33126. 

[6]  International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC), World Association of Artificial Consciousness(WAC), World Conference on Artificial Consciousness(WCAC) Yucong Duan,etc.(2024). Standardization of White-box Creativity Evaluation for Artificial Consciousness System - International Test and Evaluation Standards for Artificial Intelligence based on Networked Data-Information-Knowledge-Wisdom-Purpose (DIKWP ) Model. 10.13140/RG.2.2.18702.98885.

Email：Prof. Yucong Duanduanyucong@hotmail.com

Access to Standards and Related Materials:

All related documents and standards texts are available for online access through the following links. We encourage global researchers and practitioners to freely download, read, and apply these standards to jointly advance the development of artificial intelligence technologies.

About DIKWP-SC

The International Standardization Committee for Networked DIKWP Artificial Intelligence Evaluation (DIKWP-SC) is dedicated to establishing and promoting international standards in the fields of artificial intelligence and artificial consciousness, fostering global technical exchange and collaboration.

About the World Association of Artificial Consciousness (WAC)

The World Association of Artificial Consciousness (WAC) is an international organization committed to advancing the research and application of artificial consciousness, bringing together top academic and industrial resources from around the world.

About the World Conference on Artificial Consciousness (WCAC)

The World Conference on Artificial Consciousness (WCAC) is an annual event that brings together global experts to explore the latest research findings and future development directions in the field of artificial consciousness.

The official release of the Standardization of White-box Creativity Evaluation for Artificial Consciousness System 1.0 marks a significant milestone in the global artificial intelligence field. It embodies the collective wisdom and efforts of numerous experts and scholars, representing the current highest level of artificial consciousness research. We firmly believe that the implementation of this standard will inject new vitality into the development of artificial intelligence and propel humanity toward a more intelligent and harmonious future.

Let us look forward to the wonders artificial intelligence will create under the guidance of these standards, benefiting all of humankind.