The field of artificial intelligence is shifting towards a greater emphasis on cultural intelligence, with a focus on developing models that can understand and adapt to diverse cultural contexts. This trend is driven by the need for AI systems to be more effective and sensitive to the needs of users from different cultural backgrounds. Researchers are exploring new approaches to incorporate cultural knowledge and awareness into AI models, including the use of culturally sensitive data, contextual and cultural intelligence frameworks, and adaptive data collection methods. Notable papers in this area include: Mubeen AI, which introduces a proprietary Arabic language model that incorporates deep understanding of Arabic linguistics and cultural heritage. Beyond Models, which presents a framework for contextual and cultural intelligence in African AI deployment, enabling AI systems to process cultural meaning and achieve emotionally intelligent and economically inclusive design. Other papers, such as Finding Culture-Sensitive Neurons in Vision-Language Models and Adaptive Data Collection for Latin-American Community-sourced Evaluation of Stereotypes, also contribute to this growing area of research.