8. Establish Global Governance Mechanisms

UNI recommends the establishment of multi stakeholder Decent Work and Ethical AI governance bodies on global and regional levels. The bodies should include AI designers, manufacturers, owners, developers, researchers, employers, lawyers, CSOs and trade unions. Whistleblowing mechanisms and monitoring procedures to ensure the transition to, and implementation of, ethical AI must be established. The bodies should be granted the competence to recommend compliance processes and procedures.
Principle: Top 10 Principles For Ethical Artificial Intelligence, Dec 11, 2017

Published by UNI Global Union

Related Principles

• Require Accountability for Ethical Design and Implementation

The social implications of computing have grown and will continue to expand as more people have access to implementations of AI. Public policy should work to identify and mitigate discrimination caused by the use of AI and encourage designing in protections against these harms. [Recommendations] • Standing for “Accountable Artificial Intelligence”: Governments, industry and academia should apply the Information Accountability Foundation’s principles to AI. Organizations implementing AI solutions should be able to demonstrate to regulators that they have the right processes, policies and resources in place to meet those principles. • Transparent decisions: Governments should determine which AI implementations require algorithm explainability to mitigate discrimination and harm to individuals.

Published by Intel in AI public policy principles, Oct 18, 2017

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

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper" in Guiding Principles and Recommendations, Apr 18, 2017

8. Agile Governance

The governance of AI should respect the underlying principles of AI development. In promoting the innovative and healthy development of AI, high vigilance should be maintained in order to detect and resolve possible problems in a timely manner. The governance of AI should be adaptive and inclusive, constantly upgrading the intelligence level of the technologies, optimizing management mechanisms, and engaging with muti stakeholders to improve the governance institutions. The governance principles should be promoted throughout the entire lifecycle of AI products and services. Continuous research and foresight for the potential risks of higher level of AI in the future are required to ensure that AI will always be beneficial for human society.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Governance Principles for the New Generation Artificial Intelligence--Developing Responsible Artificial Intelligence, Jun 17, 2019

Chapter 2. The Norms of Management

  5. Promotion of agile governance. Respect the law of development of AI, fully understand the potential and limitations of AI, continue to optimize the governance mechanisms and methods of AI. Do not divorce from reality, do not rush for quick success and instant benefits in the process of strategic decision making, institution construction, and resource allocation. Promote the healthy and sustainable development of AI in an orderly manner.   6. Active practice. Comply with AI related laws, regulations, policies and standards, actively integrate AI ethics into the entire management process, take the lead in becoming practitioners and promoters of AI ethics and governance, summarize and promote AI governance experiences in a timely manner, and actively respond to the society’s concerns on the ethics of AI.   7. Exercise and use power correctly. Clarify the responsibilities and power boundaries of AI related management activities, and standardize the conditions and procedures of power operations. Fully respect and protect the privacy, freedom, dignity, safety and other rights of relevant stakeholders and other legal rights and interests, and prohibit improper use of power to infringe the legal rights of natural persons, legal persons and other organizations.   8. Strengthen risk preventions. Enhance bottom line thinking and risk awareness, strengthen the research and judgment on the potential risks during the development of AI, carry out systematic risk monitoring and evaluations in a timely manner, establish an effective early warning mechanism for risks, and enhance the ability of manage, control, and disposal of ethical risks of AI.   9. Promote inclusivity and openness. Pay full attention to the rights and demands of all stakeholders related to AI, encourage the application of diverse AI technologies to solve practical problems in economic and social development, encourage cross disciplinary, cross domain, cross regional, and cross border exchanges and cooperation, and promote the formation of AI governance frameworks, standards and norms with broad consensus.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Ethical Norms for the New Generation Artificial Intelligence, Sep 25, 2021

· 2.5. International co operation for trustworthy AI

a) Governments, including developing countries and with stakeholders, should actively cooperate to advance these principles and to progress on responsible stewardship of trustworthy AI. b) Governments should work together in the OECD and other global and regional fora to foster the sharing of AI knowledge, as appropriate. They should encourage international, crosssectoral and open multi stakeholder initiatives to garner long term expertise on AI. c) Governments should promote the development of multi stakeholder, consensus driven global technical standards for interoperable and trustworthy AI. d) Governments should also encourage the development, and their own use, of internationally comparable metrics to measure AI research, development and deployment, and gather the evidence base to assess progress in the implementation of these principles.

Published by The Organisation for Economic Co-operation and Development (OECD) in OECD Principles on Artificial Intelligence, May 22, 2019