Global First Artificial Consciousness Hallucination Evaluation White-box Standard 1.0 Officially Released: Leading the New Era of Artificial Intelligence

International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation (DIKWP-SC)World Artificial Consciousness CIC (WAC)World Conference on Artificial Consciousness (WCAC)

November 2024

In the spotlight of the global scientific community, the International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation (DIKWP-SC), in collaboration with over 70 renowned academic institutions and enterprises worldwide, has jointly released the "Artificial Consciousness System Hallucination Evaluation White-box Standardization 1.0". This groundbreaking standard, strongly supported by the World Artificial Consciousness CIC (WAC) and the World Conference on Artificial Consciousness (WCAC), marks a pivotal milestone in the standardization and ethical advancement of artificial intelligence. It provides a novel framework for the design, evaluation, and optimization of Artificial Consciousness Systems (ACS) globally.

A Comprehensive Framework: The Interconnected Five Standards

The release of the "Artificial Consciousness System Hallucination Evaluation White-box Standardization 1.0" is the result of years of meticulous planning and organization by DIKWP-SC. It constitutes a crucial component of a suite of five interrelated standards that together form a complete standardization framework for artificial consciousness systems. These five standards are sequential and interdependent, collectively establishing a robust foundation for the development and regulation of ACS.

1. DIKWP Conceptualization Semantics StandardFoundational Work: This standard clarifies the conceptual relationships between Data (D), Information (I), Knowledge (K), Wisdom (W), and Purpose (P), providing a unified language and foundational framework for the development and research of artificial consciousness systems.Significance: It resolves industry ambiguities regarding the concepts of artificial consciousness, laying a solid theoretical foundation for subsequent standards.

2. Standardization of DIKWP Semantic MathematicsPrecise Quantification: Building on the conceptual standard, this standard introduces mathematical models to precisely quantify and describe each element of the DIKWP framework.Significance: It offers calculable and verifiable mathematical support for the logical reasoning and decision-making processes of artificial consciousness systems, enhancing their reliability and accuracy.

3. Standardization for Constructing DIKWP-Based Artificial Consciousness SystemsPractical Guidance: This standard details the construction of artificial consciousness systems based on the DIKWP model, including architecture design, module division, and interface definition.Significance: It provides developers with specific implementation plans, ensuring compatibility and collaborative functionality across different systems, thereby promoting the deployment and dissemination of artificial consciousness technology.

4. Standardization for Evaluation and Testing of DIKWP-Based Artificial Consciousness SystemsQuality Assurance: This standard establishes a comprehensive set of evaluation methods and metrics for assessing the performance, functionality, and safety of artificial consciousness systems.Significance: It ensures the effectiveness and reliability of artificial consciousness systems in practical applications, setting a quality benchmark for the industry.

5. Artificial Consciousness System Hallucination Evaluation White-box Standardization 1.0Innovative Breakthrough: The latest standard focuses on the issue of hallucinations within artificial consciousness systems, introducing a systematic diagnostic and remediation approach.Significance: It fills a critical gap in the industry, enhancing the safety and credibility of artificial consciousness systems and laying the groundwork for their application in key sectors.

Overall Goal: Steering the Future of Artificial Intelligence

The collective aim of these five standards is to establish a comprehensive, scientific, and actionable standardization system for artificial consciousness systems, thereby promoting the healthy development of artificial intelligence technology. Through standardized guidance, these standards ensure that artificial consciousness systems achieve optimal functionality, ethical compliance, and minimal societal impact.

Specifically, these standards strive to:

• Unify Industry Language: Resolve conceptual confusion and promote global communication and collaboration.

• Enhance System Performance: Improve the efficiency and accuracy of artificial consciousness systems through mathematical models and optimization methods.

• Ensure Safety and Reliability: Guarantee system security and stability through rigorous evaluation and diagnostic standards.

• Adhere to Ethical Norms: Integrate ethical considerations into system design and decision-making processes to prevent potential societal risks.

• Foster Industrial Development: Provide clear standards for businesses and research institutions, reducing development costs and encouraging technological innovation.

Release of the Fifth Standard: Addressing the Challenge of Hallucinations in Artificial Consciousness1. Background and Challenges

As artificial consciousness systems become increasingly complex, the issue of hallucinations has emerged prominently. Hallucinations refer to the generation of erroneous or false perceptions and judgments by the system without external stimuli. This phenomenon can lead to incorrect decision-making and even safety incidents, posing significant risks in critical applications.

2. Core Content of the Standard

The "Artificial Consciousness System Hallucination Evaluation White-box Standardization 1.0" introduces a comprehensive set of diagnostic and remediation methods for hallucinations, including:

• Multidimensional Diagnostics: Combining the DIKWP model with the four cognitive spaces (Conceptual Space, Cognitive Space, Semantic Space, Conscious Space) to analyze the causes of hallucinations from multiple perspectives.

• Identification of the Three-No Problems: Focusing on No-Incomplete (incompleteness), No-Inconsistent (inconsistency), and No-Imprecise (imprecision) issues, quantified through mathematical models.

• Optimization of Semantic Transformations: Emphasizing the critical role of semantic transformations within the system and proposing optimization methods to prevent hallucinations caused by semantic deviations.

• Ethical and Safety Considerations: Incorporating ethical standards into the hallucination diagnostic process to ensure that systems adhere to societal morals and legal requirements while correcting hallucinations.

3. Expected Impact

• Increased System Credibility: Effective hallucination diagnostics enhance user trust in artificial consciousness systems.

• Safe Operations: Preventing erroneous decisions caused by hallucinations reduces potential safety risks.

• Promotion of Industry Standardization: Providing clear guidance fosters the standardized development of artificial consciousness technology.

Global Collaboration: Joint Efforts of Numerous Institutions

The release of this standard was made possible through the collaborative efforts of over 70 esteemed institutions worldwide, including top universities, research institutes, enterprises, and industry organizations. These contributors span various fields such as artificial intelligence, computer science, philosophy, and ethics, ensuring the standard's scientific rigor, comprehensiveness, and practicality through interdisciplinary and cross-field cooperation.

Future Outlook: Opening a New Chapter for Artificial Intelligence

The release of the "Artificial Consciousness System Hallucination Evaluation White-box Standardization 1.0" signifies a new phase in the development of artificial intelligence. With the implementation of this standard, artificial consciousness systems are poised to play a significant role in numerous fields, including intelligent healthcare, autonomous driving, and smart homes, bringing greater convenience to human life.

Under the leadership of DIKWP-SC, WAC, and WCAC, artificial intelligence technology is expected to advance toward greater safety, reliability, ethical compliance, and sustainability. We look forward to more scholars, engineers, and enterprises joining this endeavor to collaboratively create a brighter future for artificial intelligence.

Access and Contact Information

Contact Information:Yucong DuanEmail: duanyucong@hotmail.com

Access to Standards and Related Materials:All related literature and standard texts are available for online access through the following links. We encourage global researchers and practitioners to download, read, and apply these standards to collectively advance the development of artificial intelligence technology.

1. DIKWP Conceptualization Semantics StandardLink

2. Standardization of DIKWP Semantic MathematicsLink

3. Standardization for Constructing DIKWP-Based Artificial Consciousness SystemsLink

4. Standardization for Evaluation and Testing of DIKWP-Based Artificial Consciousness SystemsLink

5. Artificial Consciousness System Hallucination Evaluation White-box Standardization 1.0Link

About DIKWP-SC

The International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation (DIKWP-SC) is dedicated to developing and promoting international standards in the fields of artificial intelligence and artificial consciousness, fostering global technological交流与合作.

About World Artificial Consciousness CIC (WAC)

The World Artificial Consciousness CIC (WAC) is an international organization committed to advancing research and applications in artificial consciousness, bringing together top academic and industrial resources worldwide.

About World Conference on Artificial Consciousness (WCAC)

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

Appendix: Major Institutions Participating in Standard Development (No Order of Precedence)

• Peking University

• Tsinghua University

• Zhejiang University

• Fudan University

• Shanghai Jiao Tong University

• Harbin Institute of Technology

• Chinese Academy of Sciences

• Massachusetts Institute of Technology (MIT)

• Stanford University

• Cambridge University

• Oxford University

• University of Tokyo

• Advanced Information Technology Research Center (CAlTech) of Korea National University

• World Artificial Intelligence Organization (WAAI)

• And other globally renowned universities and research institutions

Conclusion

The official release of the "Artificial Consciousness System Hallucination Evaluation White-box Standardization 1.0" is a monumental event in the global artificial intelligence arena. It embodies the collective wisdom and efforts of numerous experts and scholars, representing the highest level of current research in artificial consciousness. We firmly believe that the implementation of this standard will inject new vitality into the development of artificial intelligence, propelling human society towards a more intelligent and harmonious future.

Let us collectively anticipate that, under the guidance of these standards, artificial intelligence will create more miracles and benefit all of humanity.