· Article 10: Self discipline and self governance.

Strengthen awareness of corporate social responsibility, integrate ethical principles into all aspects of artificial intelligence–related activities, and implement ethical reviews. Promote industry self governance, formulate norms of behavior for practitioners, and progressively build and strengthen industry supervision mechanisms.
Principle: Joint Pledge on Artificial Intelligence Industry Self-Discipline (Draft for Comment), May 31, 2019

Published by Artificial Intelligence Industry Alliance (AIIA), China

Related Principles

(Preamble)

Artificial intelligence is an important driving force for a new round of scientific and technological revolution and industrial transformation, which will bring revolutionary changes to people's production methods and lifestyles. Establish a correct view of artificial intelligence development; clarify the basic principles and operational guides for the development and use of artificial intelligence; help to build an inclusive and shared, fair and orderly development environment; and form a sustainable development model that is safe secure, trustworthy, rational, and responsible. As enterprises, universities, research institutes, and industry organizations that research, design, manufacture, operate, and service artificial intelligence; to promote ethics and self discipline in China's artificial intelligence industry; to guide and standardize the behavior of practitioners; we make the following commitments:

Published by Artificial Intelligence Industry Alliance (AIIA), China in Joint Pledge on Artificial Intelligence Industry Self-Discipline (Draft for Comment), May 31, 2019

· Article 11: Formulate standards.

Actively participate in the formulation of international, national, industry, and organizational standards related to artificial intelligence. Enhance the measurability of ethical principles such as security and controllability, transparency and explainability, privacy protection, and diversity and inclusiveness; and simultaneously build corresponding assessment capabilities.

Published by Artificial Intelligence Industry Alliance (AIIA), China in Joint Pledge on Artificial Intelligence Industry Self-Discipline (Draft for Comment), May 31, 2019

Ethical Considerations in Deployment and Design

Principle: AI system designers and builders need to apply a user centric approach to the technology. They need to consider their collective responsibility in building AI systems that will not pose security risks to the Internet and Internet users. Recommendations: Adopt ethical standards: Adherence to the principles and standards of ethical considerations in the design of artificial intelligence, should guide researchers and industry going forward. Promote ethical considerations in innovation policies: Innovation policies should require adherence to ethical standards as a pre requisite for things like funding.

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

Published by UNI Global Union in Top 10 Principles For Ethical Artificial Intelligence, Dec 11, 2017