Fueled by international efforts towards AI standardization, including those by the European Commission, the United States, and international organizations, this study introduces a AI-driven framework for analyzing advancements in drone technology. Utilizing project data retrieved from the NTIS DB via the “drone” keyword, the framework employs a diverse toolkit of supervised learning methods (Keras MLP, XGboost, LightGBM, and CatBoost) enhanced by BERTopic (natural language analysis tool). This multifaceted approach ensures both comprehensive data quality evaluation and in-depth structural analysis of documents. Furthermore, a 6T-based classification method refines non-applicable data for year-on-year AI analysis, demonstrably improving accuracy as measured by accuracy metric. Utilizing AI’s power, including GPT-4, this research unveils year-on-year trends in emerging keywords and employs them to generate detailed summaries, enabling efficient processing of large text datasets and offering an AI analysis system applicable to policy domains. Notably, this study not only advances methodologies aligned with AI Act standards but also lays the groundwork for responsible AI implementation through analysis of government research and development investments.

AI-driven technology is becoming an integral part of our daily lives, spanning from smart home devices to social media platforms. However, the uneven distribution of AI technologies could result in a scenario where certain groups exert dominance over the direction of AI development. The consequences of inequality in AI evolution could further exacerbate existing economic gaps by concentrating benefits among a privileged few with access to advanced AI technologies. To address this question the, international communities should come forward and regulate the just development of AI with new and existing international laws. Although the existing international legal frameworks can be adapted to address AI-specific issues without the need for entirely new laws, however, the novel challenges presented by AI require unique and new international laws. Issues such as data sovereignty, data privacy, and data localization are areas where international laws and agreements need to evolve to accommodate the just development of AI.