World Telecommunication and Information Society Day

  Artificial Intelligence ( AI ), as a strategic technology leading the new round of scientific and technological revolution and industrial transformation, is profoundly reshaping people's work and life. AI can serve as a global public good that benefits humanity. It is important to widely carry out international cooperation in AI , help Global South countries strengthen their technological capacity-building, and to make contributions to bridging the global AI divide. In July 2024, the General Assembly adopted by consensus the UNGA Resolution A/RES/78/311 titled “ Enhancing International Cooperation on Capacity-Building of Artificial Intelligence ” , tabled by China together with the core group. After that, China launched the AI Capacity-Building Action Plan for Good and for All, and initiated, together with Zambia, the Group of Friends for International Cooperation on AI Capacity-Building. These efforts are made to foster broad partnerships, implement the UNGA resolution and t...

  AI governance refers to the policies, standards, and processes ensuring AI systems are developed and used safely, ethically, and responsibly, addressing risks like bias, privacy, and misuse while fostering innovation by setting rules for transparency, fairness, and accountability across the AI lifecycle, involving developers, users, and policymakers. Key frameworks include the EU AI Act and ISO standards , focusing on risk-based approaches, continuous assessment, and human oversight to align AI with human values and regulations. Core Principles Fairness & Bias Mitigation : Preventing discrimination and ensuring equitable outcomes. Transparency & Explainability : Understanding how AI makes decisions. Accountability : Assigning responsibility for AI outcomes. Privacy & Security : Protecting data and systems. Human Oversight : Maintaining human control over critical AI functions. Key Components Risk Management : Identifying, assessing, and mitigating potential ...

There are a number of pre-standardization initiatives , open to everyone, called ITU-T Focus Groups that work for the quick development of specifications to address industry needs as they emerge on various aspects of AI: including digital agriculture, disaster management, health, autonomous networks, and the metaverse. ITU-T Study Groups , that are open to all ITU members, also address aspects of AI and machine learning within their mandates. The work has so far resulted in ITU-T Recommendations and Supplements as well as deliverables from the various ITU-T Focus Groups . There is also ongoing work within ITU-R on this topic of  AI in STANDARDIZATION .