e) Innovation cycle integrity

Innovation cycle integrity: the assurance of the close collaboration of research and development in the field of artificial intelligence with an actual sector of the economy;
Principle: Basic Principles of the Development and Use of Artificial Intelligence Technologies, Oct 10, 2019

Published by Office of the President of the Russian Federation, Decree of the President of the Russian Federation on the Development of Artificial Intelligence in the Russian Federation

Related Principles

4. As part of an overall “ethics by design” approach, artificial intelligence systems should be designed and developed responsibly, by applying the principles of privacy by default and privacy by design, in particular by:

a. implementing technical and organizational measures and procedures – proportional to the type of system that is developed – to ensure that data subjects’ privacy and personal data are respected, both when determining the means of the processing and at the moment of data processing, b. assessing and documenting the expected impacts on individuals and society at the beginning of an artificial intelligence project and for relevant developments during its entire life cycle, and c. identifying specific requirements for ethical and fair use of the systems and for respecting human rights as part of the development and operations of any artificial intelligence system,

Published by 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC) in Declaration On Ethics And Data Protection In Artifical Intelligence, Oct 23, 2018

10 SUSTAINABLE DEVELOPMENT PRINCIPLE

The development and use of AIS must be carried out so as to ensure a strong environmental sustainability of the planet. 1) AIS hardware, its digital infrastructure and the relevant objects on which it relies such as data centres, must aim for the greatest energy efficiency and to mitigate greenhouse gas emissions over its entire life cycle. 2) AIS hardware, its digital infrastructure and the relevant objects on which it relies, must aim to generate the least amount of electric and electronic waste and to provide for maintenance, repair, and recycling procedures according to the principles of circular economy. 3) AIS hardware, its digital infrastructure and the relevant objects on which it relies, must minimize our impact on ecosystems and biodiversity at every stage of its life cycle, notably with respect to the extraction of resources and the ultimate disposition of the equipment when it has reached the end of its useful life. 4) Public and private actors must support the environmentally responsible development of AIS in order to combat the waste of natural resources and produced goods, build sustainable supply chains and trade, and reduce global pollution.

Published by University of Montreal in The Montreal Declaration for a Responsible Development of Artificial Intelligence, Dec 4, 2018

(Preamble)

The global development of Artificial Intelligence (AI) has reached a new stage, with features such as cross disciplinary integration, human machine coordination, open and collective intelligence, and etc., which are profoundly changing our daily lives and the future of humanity. In order to promote the healthy development of the new generation of AI, better balance between development and governance, ensure the safety, reliability and controllability of AI, support the economic, social, and environmental pillars of the UN sustainable development goals, and to jointly build a human community with a shared future, all stakeholders concerned with AI development should observe the following principles:

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

(Preamble)

In order to meet the security challenges of artificial intelligence and guard the future of mankind in the intelligent age, the Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security, on the basis of fully absorbing the consensus on artificial intelligence security at home and abroad, jointly launched the Shanghai Initiative for the Security development of Artificial Intelligence and industry colleagues in the field of artificial intelligence security.

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security in Shanghai Initiative for the Safe Development of Artificial Intelligence, Aug 30, 2019

1. Future oriented

The developement of AI requires coordination between innovation and safety, so as to protect innovation with security, and to drive security with innovation. While ensuring the safety of artificial intelligence itself, we will actively apply artificial intelligence technology to solve the security problems of human society.

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security in Shanghai Initiative for the Safe Development of Artificial Intelligence, Aug 30, 2019