The field of AI and data analytics is shifting towards a more inclusive and globally relevant approach. Researchers are focusing on developing methodologies and platforms that can account for local context and language, addressing the limitations of current AI models. This involves leveraging expert communities to collect diverse, high-quality data and providing access to multilingual datasets. Furthermore, there is a growing emphasis on community-driven technological adaptation in the Global South, where informal networks and grassroots innovation are being used to overcome institutional resistance and infrastructural limitations. Noteworthy papers include:

• Amplify Initiative, which presents a data platform and methodology for co-creating datasets with domain experts, resulting in a large annotated dataset that can be used to evaluate model safety and cultural relevance.
• Bridging Data Gaps and Building Knowledge Networks in Indian Football Analytics, which proposes HCI interventions such as decentralised knowledge platforms to facilitate structured peer mentorship and low-cost data solutions in resource-constrained environments.