智善 · 共济链接人工智能原则平台

适应性多利益相关方治理与协作

The involvement of different stakeholders throughout the lifecycle of AI systems is necessary to ensure inclusive approaches to AI governance. These include governments, intergovernmental organisations, the technical community, civil society, researchers and academia, the media, education officials, policy makers, private sector companies, human rights institutions and equality bodies, antidiscrimination watchdogs, and youth and children’s groups, among others.

原则: 关于可靠人工智能的建议, Jnue 2, 2023

作者：OFFICE OF THE CHIEF OF MINISTERS UNDERSECRETARY OF INFORMATION TECHNOLOGIES

相关原则

Awareness and education.

Public awareness and understanding of AI technologies and the value of data should be promoted through open and accessible education, civic engagement,digital skills and training on the ethics of using AI, media and information literacy and capacity building jointly led by governments, intergovernmental organisations, civil society, academia, the media, community leaders and the private sector, and taking into account existing linguistic, social and cultural diversity, to ensure effective public participation.

由 OFFICE OF THE CHIEF OF MINISTERS UNDERSECRETARY OF INFORMATION TECHNOLOGIES 在关于可靠人工智能的建议发表, Jnue 2, 2023

Open Governance

Principle: The ability of various stakeholders, whether civil society, government, private sector or academia and the technical community, to inform and participate in the governance of AI is crucial for its safe deployment. Recommendations: Promote Multistakeholder Governance: Organizations, institutions and processes related to the governance of AI need to adopt an open, transparent and inclusive approach. It should be based on four key attributes: Inclusiveness and transparency; Collective responsibility; Effective decision making and implementation and Collaboration through distributed and interoperable governance

由 Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper" 在指导原则与建议（Guiding Principles and Recommendations）发表, Apr 18, 2017

7. Open and Collaboration

Cross disciplinary and cross boundary exchanges and cooperation should be encouraged in the development of AI. Coordinated interactions should be fostered among international organizations, government agencies, research institutions, educational institutions, industries, social organizations and the general public in the development and governance of AI. With full respect for the principles and practices of AI development in various countries, international dialogues and cooperation should be encouraged to promote the formation of an international AI governance framework with broad consensus.

由 National Governance Committee for the New Generation Artificial Intelligence, China 在新一代人工智能治理原则——发展负责任的人工智能（Governance Principles for the New Generation Artificial Intelligence Developing Responsible Artificial Intelligence）发表, Jun 17, 2019

· Awareness and literacy

44. Public awareness and understanding of AI technologies and the value of data should be promoted through open and accessible education, civic engagement, digital skills and AI ethics training, media and information literacy and training led jointly by governments, intergovernmental organizations, civil society, academia, the media, community leaders and the private sector, and considering the existing linguistic, social and cultural diversity, to ensure effective public participation so that all members of society can take informed decisions about their use of AI systems and be protected from undue influence. 45. Learning about the impact of AI systems should include learning about, through and for human rights and fundamental freedoms, meaning that the approach and understanding of AI systems should be grounded by their impact on human rights and access to rights, as well as on the environment and ecosystems.

由 The United Nations Educational, Scientific and Cultural Organization (UNESCO) 在人工智能伦理问题建议书发表, Nov 24, 2021

· Multi stakeholder and adaptive governance and collaboration

46. International law and national sovereignty must be respected in the use of data. That means that States, complying with international law, can regulate the data generated within or passing through their territories, and take measures towards effective regulation of data, including data protection, based on respect for the right to privacy in accordance with international law and other human rights norms and standards. 47. Participation of different stakeholders throughout the AI system life cycle is necessary for inclusive approaches to AI governance, enabling the benefits to be shared by all, and to contribute to sustainable development. Stakeholders include but are not limited to governments, intergovernmental organizations, the technical community, civil society, researchers and academia, media, education, policy makers, private sector companies, human rights institutions and equality bodies, anti discrimination monitoring bodies, and groups for youth and children. The adoption of open standards and interoperability to facilitate collaboration should be in place. Measures should be adopted to take into account shifts in technologies, the emergence of new groups of stakeholders, and to allow for meaningful participation by marginalized groups, communities and individuals and, where relevant, in the case of Indigenous Peoples, respect for the self governance of their data.

由 The United Nations Educational, Scientific and Cultural Organization (UNESCO) 在人工智能伦理问题建议书发表, Nov 24, 2021