Abstract: The global expansion of algorithmic power has made its international governance an urgent priority. This study analyzes the necessity of addressing this issue and proposes relevant measures for the international community. However, significant challenges persist, including the boundless expansion of algorithmic power, the difficulty of breaking monopolistic structures dominated by a few tech giants, and the alienation of power, where algorithms evolve beyond human oversight and societal values. To address these issues, it is essential to clarify principles for data collection and algorithmic ethics, focusing on privacy, fairness, and transparency while ensuring algorithms are accountable and free from discrimination. Establishing coordinated supervision mechanisms that involve governments, international organizations, technology companies, and civil society can create a multi-stakeholder governance framework. Context-specific transparency standards should also be defined, adapting to the needs of various domains, such as healthcare or justice, where higher accountability is required. Enhancing the explainability of artificial intelligence algorithms is another key measure, as it ensures algorithmic decisions can be understood and justified, increasing trust and mitigating risks. Active participation in the establishment of global algorithm standards is necessary to set technical, ethical, and operational benchmarks that ensure fairness and consistency while preventing domination by a few entities. Simultaneously, countries must strengthen their domestic legal protections by enacting laws that address issues like algorithmic bias, data misuse, and automated decision-making accountability. These efforts, however, face structural obstacles due to the monopolistic nature of the algorithmic landscape and the difficulty of reforming entrenched power dynamics. Despite these challenges, a coordinated international approach that clarifies ethical principles, fosters collaboration, enhances transparency, and reinforces legal frameworks can create a more equitable governance system for algorithmic power, ensuring it serves humanity’s collective interests.