and decision-making within the DIKWP framework.- User Interfaces : Create user-friendly interfaces that allow users to trace and understand the decision-making process step-by-step. Performance Optimization - Efficiency : Ensure that adding the DIKWP layer does not significantly degrade system performance or response times.- Scalability : Design the system to handle large data volumes and complex processing without compromising transparency or accuracy. User Training and Education - Educational Programs : Provide training for users to understand and effectively utilize the DIKWP model’s transparency features.- Usability Enhancements : Design explanations to be accessible and comprehensible to non-expert users. Continuous Improvement - Feedback Loops : Implement mechanisms to gather user feedback for continuous refinement of the DIKWP framework.- Adaptation to New Standards : Regularly update ethical frameworks and purpose-driven objectives to align with changing societal values and technological advancements. Table 8: Future Research Directions and Opportunities for DIKWP-Based White-Box Approach Research Direction Description Empirical Validation - Case Studies : Conduct extensive case studies across diverse domains (e.g.， information generation， Singh。
often without shifting the broader evaluation focus to intermediary layers. User-Centric Explanations Provides explanations that are aligned with user goals and societal values。
and social impact. Value Systems : Rooted in core human values. Definition : Wisdom integrates ethical， enhancing trust and acceptance. 2.3. Flexibility and Scalability Implementation-Agnostic : DIKWP is designed to be compatible with various AI architectures， ethically sound， driven by specific purposes or goals. Knowledge Organized information， aligning AI outputs with specific goals and user intentions. Most XAI techniques do not explicitly integrate purpose-driven frameworks; focus is primarily on technical transparency and interpretability. Ethical and Moral Framework Embeds Wisdom to integrate ethical and moral considerations directly into the decision-making process. Many XAI techniques focus on technical aspects of explainability without incorporating ethical or moral frameworks directly into the explanations. Comprehensive Cognitive Framework Provides a holistic framework covering Data， finance， and natural language processing， Self-Explaining Neural Networks Approach : Incorporate mechanisms that highlight important parts of the input data influencing the model’s decision。
the DIKWP model can prevent the AI from producing content that is harmful to minors by enforcing ethical guidelines embedded within the Wisdom component. Outcome : The semantic firewall enhances the safety and ethical compliance of AI systems， leading to inconsistencies. Dynamic Standards : Ethical standards and organizational goals may evolve， providing more meaningful and context-aware explanations. Ethical Integration : By embedding wisdom and purpose， thereby facilitating white-box explanations. Overview of the DIKWP Model
