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AI Governance for Humanity: UN's 7 Key Recommendations

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In September 2024, the UN AI Advisory Body released its final report, "Governing AI for Humanity," which proposed seven key recommendations to address the ethical and societal challenges posed by the global development of AI technology. The report presents regulatory and governance measures for human-centered AI, emphasizing the need for international cooperation and governance structures to ensure fair and sustainable use of AI.


1. Establishment of an International Scientific Panel on AI


Background of the Proposal


An independent scientific panel, involving experts from various fields, is needed to scientifically assess and understand the potential and risks of rapidly advancing AI technology.


Main Activities


  • Operate an independent panel of multidisciplinary experts

  • Publish annual reports assessing the progress and impact of AI technologies

  • Issue quarterly reports on key topics, such as AI’s contribution to achieving the Sustainable Development Goals (SDGs)

  • Release special reports promptly when new risks or governance gaps arise


2. Creation of AI Governance Policy Dialogue Framework


Background of the Proposal


To maximize the benefits of AI development and effectively manage risks, a coordinated response from the international community is essential.


Implementation Plan


  • Hold semi-annual AI governance policy dialogues linked to regular UN meetings

  • Share best practices for protecting human rights and managing risks related to AI development

  • Exchange accident cases and response experiences related to AI

  • Discuss ways to reflect the research results of the scientific panel in policymaking


3. Establishment of an AI Standards Exchange


Background of the Proposal


To ensure interoperability and reliability of AI systems, international standardization is urgently needed.


Core Functions


  • Develop and manage international standards for evaluating and certifying AI systems

  • Review the status of national standards development and address any gaps

  • Identify areas requiring new standards and develop strategies for standardization


4. Development of an AI Capacity-Building Network


Background of the Proposal


To close the AI technology gap and promote inclusive development, systematic capacity-building support is needed.


Support Offered


  • Provide AI training data, computing resources, and educational programs

  • Strengthen AI governance capabilities in the public sector

  • Operate sandboxes and online learning platforms for AI experimentation and development


5. Creation of a Global AI Fund


Background of the Proposal


Practical support is needed for developing countries to reduce disparities in the benefits of AI technology.


Key Projects


  • Support AI development resources through public-private collaboration

  • Provide computing infrastructure for AI research and development

  • Establish testing environments for AI model development and data management

  • Operate a platform for sharing data and models related to SDG-related AI projects


6. Establishment of a Global AI Data Framework


Background of the Proposal


International standards are needed to enhance the transparency and accountability of AI training data.


Key Elements


  • Establish international governance principles for AI-related data

  • Set transparency standards for data sources and usage

  • Build an international data exchange system (e.g., data trusts, marketplaces)


7. Creation of a Dedicated AI Unit within the UN Secretariat


Background of the Proposal


A central coordinating body is needed to ensure effective implementation of AI governance policies.


Main Roles


  • Support the implementation of AI governance-related recommendations

  • Strengthen cooperation with key stakeholders

  • Advise the UN Secretary-General and coordinate among departments


Implications: Global AI Management and Cooperation


This report presents the first comprehensive international governance framework to systematically manage the benefits and risks of AI technology. It particularly emphasizes ensuring the participation of developing countries, international harmony in data, standards, and governance, and managing risks through multilateral cooperation.


If these proposed measures are realized, they are expected to provide a developmental path in which AI technology contributes to the common good of humanity while fulfilling its ethical and social responsibilities. This report will serve as an important milestone for the harmonious coexistence of AI and human society.


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