Transparency: This category centers on the importance of understanding AI decision-making processes and the need for openness in AI development, deployment, and governance. It features initiatives, frameworks, articles, and discussions that advocate for the development of AI systems that prioritize explainability and transparency. The content under this category addresses the need to identify and mitigate biases, errors, or unethical behavior in AI systems, enabling stakeholders to hold developers, organizations, and users accountable and fostering trust in AI technologies.