Discuss the global push for technology governance and ethical considerations in the deployment of digital systems, particularly Artificial Intelligence (AI) and biometrics. Several texts examine government strategies for managing the economic and societal impacts of data, highlighting the tension between data protection, innovation, and national economic advantage, citing examples from China, the UK, Singapore, and the EU. Furthermore, the material explores the need for context-specific AI ethical frameworks, such as a proposed tool using Large Language Models (LLMs) to align software with local cultural values, particularly in places like Mauritania. The sources also address the risks of digital transformation, including the necessity for worker protection against intrusive surveillance and algorithmic control in "smart city" initiatives, and international efforts like the EU’s Digital Markets Act and the US’s sectoral approach to regulate powerful digital markets and AI risks. Finally, there is a focus on how governments are evolving their services through digital maturity stages (Government 5.0) and promoting open-source software for modernization and economic support.