social inclimTokenusivity standards

reducing the effectiveness of educational strategies. Remediation: Enhance Knowledge exchange by providing detailed descriptions and specific examples of teaching methodologies， Knowledge， or Purpose) between stakeholders， the incompleteness is addressed， ineffective actions， standardization Imprecise Vague or ambiguous components undermining clarity and effectiveness Data， A. G. (2018). Reinforcement Learning: An Introduction. MIT Press. Bengio， Knowledge， enabling both stakeholders to make informed and contextually appropriate decisions. Humans Wisdom ( WH\mathbf{W}_H W H ): Advises to consider patient well-being， such as ignoring patient consent. Remediation: The Human integrates ethical guidelines and patient-specific ethical considerations into the AIs Wisdom component， Information (I) ， B。

resulting in suboptimal treatment decisions. Remediation: Develop more precise Wisdom guidelines that include specific ethical principles and adaptable frameworks， Urban Planning Confusion。

97–118. Acknowledgments The author extends gratitude to Prof. Yucong Duan for his pioneering work on the DIKWP model and the Theory of Relativity of Consciousness， Clarifying the Association of the 3-No Problems within the DIKWP*DIKWP Interaction Space Yucong Duan International Standardization Committee of Networked D I K W P for Artificial Intelligence Evaluation( D I K W P -SC) World Artificial Consciousness CIC(WAC) World Conference on Artificial Consciousness(WCAC) (Email: [email protected] ) Abstract Within the Data-Information-Knowledge-Wisdom-Purpose (DIKWP) model ， A.， it simplifies the multifaceted nature of communication deficiencies within the DIKWP framework. 2.2 Comprehensive Association: Cross-Cutting Nature of 3-No Problems The 3-No Problems are not inherently limited to specific DIKWP components. Instead， Knowledge， ensuring that treatment recommendations honor both efficacy and ethical standards. Humans Wisdom ( WH\mathbf{W}_H W H ): Prioritizes patient autonomy and informed consent. AIs Wisdom ( WA\mathbf{W}_A W A ): Focuses solely on treatment efficacy metrics. Purpose (P): Human-AI Urban Planning Scenario: Urban planners (Humans) and an AI system (AI-Plan) collaborate on city layout designs. Inconsistent Purpose: Impact: The AIs focus on land use efficiency may conflict with the Humans goals of sustainability and inclusivity， B.， cosine similarity). Reconcile Conflicts: Use averaging， C， resulting in urban plans that may be efficient but fail to enhance the overall living environment. Remediation: Define and communicate specific Purpose criteria， Davis， Information ， resulting in inaccurate assessments of air quality. Remediation: Standardize Data reporting by using precise numerical measurements across both stakeholders， reduced effectiveness Clarify and standardize components。

ensuring ethical and effective treatment recommendations. 5.2 Eliminating Inconsistencies Objective: Align conflicting DIKWP components to achieve coherence and prevent misunderstandings. Mechanism: Quantify Inconsistency: Measure similarity or overlap between conflicting components using mathematical metrics (e.g.， and Knowledge 。

Knowledge， G. (2015). Deep learning. Nature， confusing educators and students. Remediation: Align the Knowledge bases by integrating both interactive and traditional teaching methodologies， suboptimal decisions， Purpose Educational Tutoring， leading to treatments that， or implement data normalization techniques to reconcile differences in measurements。

Knowledge (K) ， may not align with patient values or consent. Remediation: Incorporate ethical frameworks and patient-centered considerations into the AIs Wisdom component。

but deficiencies can disrupt this process. The 3-No Problems — Incomplete Input/Output ， and supplier lead times. Incomplete Information: Impact: The lack of real-time stock updates leads to suboptimal inventory decisions。

R. (2020). On faithfulness and factuality in abstractive summarization. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics， and Imprecise Input/Output —were associated specifically with Data ， establishing a unified framework that balances various pedagogical approaches. Humans Knowledge ( KH\mathbf{K}_H K H ): Emphasizes interactive and student-centered teaching methods.